diff --git a/.github/workflows/docker.yml b/.github/workflows/docker.yml
new file mode 100644
index 0000000..9603404
--- /dev/null
+++ b/.github/workflows/docker.yml
@@ -0,0 +1,192 @@
+name: qpod-docker-images
+
+on:
+  pull_request:
+    paths-ignore:
+      - "*.md"
+
+  push:
+    branches:
+      - master
+    paths-ignore:
+      - "*.md"
+
+env:
+  DOCKER_REGISTRY_USER: ${{ secrets.DOCKER_REGISTRY_USER }}
+  DOCKER_REGISTRY_PASSWORD: ${{ secrets.DOCKER_REGISTRY_PASSWORD }}
+
+jobs:
+  build-base:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v2
+      - run: echo '{"experimental":true}' | sudo tee /etc/docker/daemon.json && sudo service docker restart && docker info
+
+      - name: docker - atom/base
+        run: |
+          source ./tool.sh
+          build_image atom latest  docker_atom/Dockerfile && push_image
+          build_image base latest  docker_base/Dockerfile
+          alias_image base latest  py-mini latest
+          push_image
+
+  build-cuda-base:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v2
+      - run: echo '{"experimental":true}' | sudo tee /etc/docker/daemon.json && sudo service docker restart
+      - name: docker - cuda
+        run: |
+          source ./tool.sh
+
+          build_image cuda_11.4 latest docker_atom/Dockerfile --build-arg "BASE_IMG=nvidia/cuda:11.4.1-cudnn8-runtime-ubuntu20.04"
+          build_image cuda_11.4 latest docker_base/Dockerfile --build-arg "BASE_IMG=cuda_11.4"
+          build_image cuda_11.4 latest docker_cuda/Dockerfile --build-arg "BASE_IMG=cuda_11.4" alias_image cuda_11.4 latest cuda latest && push_image
+
+          # For tensorflow >=2.5 and torch >= 1.9 support
+          build_image cuda_11.2 latest docker_atom/Dockerfile --build-arg "BASE_IMG=nvidia/cuda:11.2.2-cudnn8-runtime-ubuntu20.04"
+          build_image cuda_11.2 latest docker_base/Dockerfile --build-arg "BASE_IMG=cuda_11.2"
+          build_image cuda_11.2 latest docker_cuda/Dockerfile --build-arg "BASE_IMG=cuda_11.2" && push_image
+
+          # For legacy tensorflow 1.15 support
+          build_image cuda_10.0 latest docker_atom/Dockerfile --build-arg "BASE_IMG=nvidia/cuda:10.0-cudnn7-runtime-ubuntu18.04"
+          build_image cuda_10.0 latest docker_base/Dockerfile --build-arg "BASE_IMG=cuda_10.0"
+          build_image cuda_10.0 latest docker_cuda/Dockerfile --build-arg "BASE_IMG=cuda_10.0" && push_image
+
+  build-core:
+    needs: build-base
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v2
+      - run: echo '{"experimental":true}' | sudo tee /etc/docker/daemon.json && sudo service docker restart
+      - name: docker-core
+        run: |
+          source ./tool.sh
+          build_image core latest  docker_core/Dockerfile \
+            --build-arg "ARG_PROFILE_PYTHON=base,datascience,database,nlp,cv,bio,chem,tf2,torch" \
+            --build-arg "ARG_PROFILE_R=base,datascience,rstudio,rshiny" \
+            --build-arg "ARG_PROFILE_NODEJS=base" \
+            --build-arg "ARG_PROFILE_JAVA=base,maven" \
+            --build-arg "ARG_PROFILE_GO=base" \
+            --build-arg "ARG_PROFILE_JULIA=base" \
+            --build-arg "ARG_PROFILE_OCTAVE=base" \
+            --build-arg "ARG_PROFILE_LATEX=base,cjk"
+          push_image
+
+  build-py:
+    needs: build-base
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v2
+      - run: echo '{"experimental":true}' | sudo tee /etc/docker/daemon.json && sudo service docker restart
+      - name: docker-py
+        run: |
+          source ./tool.sh
+          build_image py-data latest docker_core/Dockerfile --build-arg "ARG_PROFILE_PYTHON=datascience,database"   && push_image
+          build_image py-nlp  latest docker_core/Dockerfile --build-arg "ARG_PROFILE_PYTHON=datascience,nlp"        && push_image
+          build_image py-cv   latest docker_core/Dockerfile --build-arg "ARG_PROFILE_PYTHON=datascience,cv"         && push_image
+          build_image py-bio  latest docker_core/Dockerfile --build-arg "ARG_PROFILE_PYTHON=datascience,bio"        && push_image
+          build_image py-bio  latest docker_core/Dockerfile --build-arg "ARG_PROFILE_PYTHON=datascience,chem"       && push_image
+          build_image py-std  latest docker_core/Dockerfile \
+            --build-arg "ARG_PROFILE_PYTHON=datascience,database,nlp,cv,bio,chem" \
+            && push_image
+          build_image py-jdk  latest docker_core/Dockerfile \
+            --build-arg "ARG_PROFILE_PYTHON=datascience,database,nlp,cv,bio,chem" \
+            --build-arg "ARG_PROFILE_JAVA=base" \
+            && push_image
+
+  build-r:
+    needs: build-base
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v2
+      - run: echo '{"experimental":true}' | sudo tee /etc/docker/daemon.json && sudo service docker restart
+      - name: docker-R
+        run: |
+          source ./tool.sh
+          build_image r-mini    latest docker_core/Dockerfile \
+            --build-arg "ARG_PROFILE_R=base" \
+            && push_image
+          build_image r-std     latest docker_core/Dockerfile \
+            --build-arg "ARG_PROFILE_R=base,datascience" \
+            --build-arg "ARG_PROFILE_JAVA=base" \
+            && push_image
+          build_image r-latex   latest docker_core/Dockerfile \
+            --build-arg "ARG_PROFILE_R=base,datascience" \
+            --build-arg "ARG_PROFILE_JAVA=base" \
+            --build-arg "ARG_PROFILE_LATEX=base,cjk" \
+            && push_image
+          build_image r-studio  latest docker_core/Dockerfile \
+            --build-arg "ARG_PROFILE_R=base,datascience,rstudio,rshiny" \
+            --build-arg "ARG_PROFILE_JAVA=base" \
+            --build-arg "ARG_PROFILE_LATEX=base,cjk" \
+            && push_image
+
+  build-other:
+    needs: build-base
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v2
+      - run: echo '{"experimental":true}' | sudo tee /etc/docker/daemon.json && sudo service docker restart
+      - name: docker-other
+        run: |
+          source ./tool.sh
+          build_image node      latest docker_core/Dockerfile --build-arg "ARG_PROFILE_NODEJS=base" && push_image
+          build_image jdk       latest docker_core/Dockerfile --build-arg "ARG_PROFILE_JAVA=base"   && push_image
+          build_image julia     latest docker_core/Dockerfile --build-arg "ARG_PROFILE_JULIA=base"  && push_image
+          build_image go        latest docker_core/Dockerfile --build-arg "ARG_PROFILE_GO=base"     && push_image
+
+  build-cuda-core:
+    needs: build-cuda-base
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v2
+      - run: echo '{"experimental":true}' | sudo tee /etc/docker/daemon.json && sudo service docker restart
+      - name: docker-cuda-core
+        run: |
+          source ./tool.sh
+
+          build_image py-cuda-10.0 latest docker_core/Dockerfile \
+            --build-arg "ARG_PROFILE_PYTHON=tf1,datascience,nlp,cv" \
+            --build-arg "BASE_IMG=cuda_10.0"
+          alias_image py-cuda-10.0 latest tf1 latest && push_image
+
+          build_image full-cuda-11.2 latest docker_core/Dockerfile \
+            --build-arg "BASE_IMG=cuda_11.2" \
+            --build-arg "ARG_PROFILE_PYTHON=base,datascience,database,nlp,cv,bio,chem,tf2,torch" \
+            --build-arg "ARG_PROFILE_R=base,datascience,rstudio,rshiny" \
+            --build-arg "ARG_PROFILE_NODEJS=base" \
+            --build-arg "ARG_PROFILE_JAVA=base,maven" \
+            --build-arg "ARG_PROFILE_GO=base" \
+            --build-arg "ARG_PROFILE_JULIA=base" \
+            --build-arg "ARG_PROFILE_LATEX=base,cjk"
+          alias_image full-cuda-11.2 latest core-cuda latest && push_image
+
+  build-dev-core:
+    needs: build-core
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v2
+      - run: echo '{"experimental":true}' | sudo tee /etc/docker/daemon.json && sudo service docker restart
+      - name: docker-other
+        run: |
+          source ./tool.sh
+          build_image core-dev latest docker_dev/Dockerfile \
+            --build-arg "ARG_PROFILE_JUPYTER=base,kernels,extensions" \
+            --build-arg "ARG_PROFILE_VSCODE=base"
+          alias_image core-dev latest full latest && push_image
+
+  build-dev-cuda:
+    needs: build-cuda-core
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v2
+      - run: echo '{"experimental":true}' | sudo tee /etc/docker/daemon.json && sudo service docker restart
+      - name: docker-dev-cuda
+        run: |
+          source ./tool.sh
+          build_image cuda-dev latest docker_dev/Dockerfile \
+            --build-arg "BASE_IMG=core-cuda" \
+            --build-arg "ARG_PROFILE_JUPYTER=base,kernels,extensions" \
+            --build-arg "ARG_PROFILE_VSCODE=base"
+          alias_image cuda-dev latest full-cuda latest && push_image
diff --git a/.travis.yml b/.travis.yml
deleted file mode 100644
index a407349..0000000
--- a/.travis.yml
+++ /dev/null
@@ -1,186 +0,0 @@
-language: minimal
-
-dist: bionic
-
-branches:
-  only:
-    - master
-    - devops
-
-notifications:
-  slack: q-pod:lrzKf5Ff1Ao1MGclzElR23j4    
-
-env:
-  global:
-    - REGISTRY_URL: "docker.io"  # docker.io or other registry URL, DOCKER_REGISTRY_USER/DOCKER_REGISTRY_PASSWORD to be set in CI env.
-    - DOCKER_BUILDKIT: 0
-
-install:
-  - echo '{"experimental":true}' | sudo tee /etc/docker/daemon.json && sudo service docker restart && docker info
-
-before_script:
-  - echo IP=$(curl -s http://ifconfig.me/ip)
-  - CI_PROJECT_NAMESPACE=$([[ "$TRAVIS_PULL_REQUEST_SLUG" = "" ]] && echo "$(dirname ${TRAVIS_REPO_SLUG})" || echo "$(dirname ${TRAVIS_PULL_REQUEST_SLUG})")
-  - export NAMESPACE=$(echo "${REGISTRY_URL}/${CI_PROJECT_NAMESPACE}" | awk '{print tolower($0)}')
-  - export VER=`date +%Y.%m%d`
-  - build_image() {
-      IMG=$1; TAG=$2; FILE=$3; shift 3;
-      [[ "$TRAVIS_PULL_REQUEST_BRANCH" == "" ]] && BASE_NAMESPACE="${NAMESPACE}" || BASE_NAMESPACE="${NAMESPACE}0${TRAVIS_PULL_REQUEST_BRANCH}" ;
-      docker build --squash --compress --force-rm=true -t "${BASE_NAMESPACE}/${IMG}:${TAG}" -f "$FILE" --build-arg "BASE_NAMESPACE=${BASE_NAMESPACE}" "$@" "$(dirname $FILE)" ;
-      docker tag "${BASE_NAMESPACE}/${IMG}:${TAG}" "${BASE_NAMESPACE}/${IMG}:${VER}" ;
-    }
-  - alias_image() {
-      IMG_1=$1; TAG_1=$2; IMG_2=$3; TAG_2=$4; shift 4;
-      [[ "$TRAVIS_PULL_REQUEST_BRANCH" == "" ]] && BASE_NAMESPACE="${NAMESPACE}" || BASE_NAMESPACE="${NAMESPACE}0${TRAVIS_PULL_REQUEST_BRANCH}" ;
-      docker tag "${BASE_NAMESPACE}/${IMG_1}:${TAG_1}" "${BASE_NAMESPACE}/${IMG_2}:${TAG_2}" ;
-      docker tag "${BASE_NAMESPACE}/${IMG_2}:${TAG_2}" "${BASE_NAMESPACE}/${IMG_2}:${VER}" ;
-    }
-
-after_script:
-  - docker image prune --force && docker images
-  - IMGS=$(docker images | grep "second" | awk '{print $1 ":" $2}')
-  - echo "$DOCKER_REGISTRY_PASSWORD" | docker login "${REGISTRY_URL}" -u "$DOCKER_REGISTRY_USER" --password-stdin ;
-    for IMG in $(echo $IMGS | tr " " "\n") ;
-    do
-      docker push "${IMG}";
-      status=$?;
-      echo "[${status}] Image pushed > ${IMG}";
-    done
-
-jobs:
-  include:
-    - stage: atom
-      name: atom
-      script: build_image atom latest docker_atom/Dockerfile
-
-    - stage: base
-      name: base
-      script:
-      - build_image base latest docker_base/Dockerfile
-      - alias_image base latest py-mini latest
-#-------------------------------------------------------------------------------
-#    core: full - start the full job fist as it's time consuming
-#-------------------------------------------------------------------------------
-    - stage: core  
-      name: core
-      script: build_image core    latest docker_core/Dockerfile        
-            --build-arg "ARG_PROFILE_PYTHON=base,datascience,database,nlp,cv,bio,chem,tf2,torch"
-            --build-arg "ARG_PROFILE_R=base,datascience,rstudio,rshiny"
-            --build-arg "ARG_PROFILE_NODEJS=base"
-            --build-arg "ARG_PROFILE_JAVA=base,maven"
-            --build-arg "ARG_PROFILE_GO=base"
-            --build-arg "ARG_PROFILE_JULIA=base"
-            --build-arg "ARG_PROFILE_OCTAVE=base"
-            --build-arg "ARG_PROFILE_LATEX=base,cjk"
-#-------------------------------------------------------------------------------
-# Python: (mini - same as `base` as aliased above), datascience, bio, chem, nlp, cv, full
-#-------------------------------------------------------------------------------
-    - name: py-data
-      script: build_image py-data latest docker_core/Dockerfile --build-arg "ARG_PROFILE_PYTHON=datascience,database"
-    - name: py-nlp
-      script: build_image py-nlp  latest docker_core/Dockerfile --build-arg "ARG_PROFILE_PYTHON=datascience,nlp"
-    - name: py-cv
-      script: build_image py-cv   latest docker_core/Dockerfile --build-arg "ARG_PROFILE_PYTHON=datascience,cv"
-    - name: py-bio
-      script: build_image py-bio  latest docker_core/Dockerfile --build-arg "ARG_PROFILE_PYTHON=datascience,bio"
-    - name: py-chem
-      script: build_image py-bio  latest docker_core/Dockerfile --build-arg "ARG_PROFILE_PYTHON=datascience,chem"
-    - name: py-std
-      script: build_image py-std  latest docker_core/Dockerfile --build-arg "ARG_PROFILE_PYTHON=datascience,database,nlp,cv,bio,chem"
-    - name: py-jdk
-      script: build_image py-jdk  latest docker_core/Dockerfile --build-arg "ARG_PROFILE_PYTHON=datascience,database,nlp,cv,bio,chem" --build-arg "ARG_PROFILE_JAVA=base"
-#-------------------------------------------------------------------------------
-#    R: mini, std, latex, studio
-#-------------------------------------------------------------------------------
-    - name: r-mini
-      script: build_image r-mini  latest docker_core/Dockerfile --build-arg "ARG_PROFILE_R=base"
-    - name: r-std
-      script: build_image r-std   latest docker_core/Dockerfile --build-arg "ARG_PROFILE_R=base,datascience" --build-arg "ARG_PROFILE_JAVA=base"
-    - name: r-latex
-      script: build_image r-latex latest docker_core/Dockerfile --build-arg "ARG_PROFILE_R=base,datascience" --build-arg "ARG_PROFILE_JAVA=base" --build-arg "ARG_PROFILE_LATEX=base,cjk"
-    - name: r-studio
-      script: build_image r-studio  latest docker_core/Dockerfile --build-arg "ARG_PROFILE_R=base,datascience,rstudio,rshiny" --build-arg "ARG_PROFILE_JAVA=base" --build-arg "ARG_PROFILE_LATEX=base,cjk"
-#-------------------------------------------------------------------------------
-#    NodeJS: base
-#-------------------------------------------------------------------------------
-    - name: node
-      script: build_image node    latest docker_core/Dockerfile --build-arg "ARG_PROFILE_NODEJS=base"
-#-------------------------------------------------------------------------------
-#    Java: base
-#-------------------------------------------------------------------------------
-    - name: jdk
-      script: build_image jdk     latest docker_core/Dockerfile --build-arg "ARG_PROFILE_JAVA=base"
-#-------------------------------------------------------------------------------
-#    Julia: base
-#-------------------------------------------------------------------------------
-    - name: julia
-      script: build_image julia   latest docker_core/Dockerfile --build-arg "ARG_PROFILE_JULIA=base"
-#-------------------------------------------------------------------------------
-#    Go: base
-#-------------------------------------------------------------------------------
-    - name: go
-      script: build_image go      latest docker_core/Dockerfile --build-arg "ARG_PROFILE_GO=base"
-#-------------------------------------------------------------------------------
-#    Octave: base
-#-------------------------------------------------------------------------------
-    - name: octave
-      script: build_image octave  latest docker_core/Dockerfile --build-arg "ARG_PROFILE_OCTAVE=base"
-#===============================================================================
-# GPU: cuda_10.0, cuda_10.1, cuda_10.2 (cuda), cuda_11.0
-#-------------------------------------------------------------------------------
-    - stage: cuda-base
-      name: cuda_10.0
-      script: build_image cuda_10.0 latest docker_cuda/cuda10.0.Dockerfile
-    - name: cuda_10.1
-      script: build_image cuda_10.1 latest docker_cuda/cuda10.1.Dockerfile
-    - name: cuda_10.2
-      script: build_image cuda_10.2 latest docker_cuda/cuda10.2.Dockerfile
-    - name: cuda_11.0
-      script: build_image cuda_11.0 latest docker_cuda/cuda11.0.Dockerfile
-#-------------------------------------------------------------------------------
-#    Python with DeepLearning package: tf1 tf2 pytorch,
-#-------------------------------------------------------------------------------
-    - stage: cuda-core
-      name: py-cuda-10.0
-      script:
-        - build_image py-cuda-10.0 latest docker_core/Dockerfile --build-arg "ARG_PROFILE_PYTHON=tf1,datascience,nlp,cv" --build-arg "BASE_IMG=cuda_10.0"
-        - alias_image py-cuda-10.0 latest tf1 latest
-    - name: py-cuda-10.1
-      script:
-        - build_image py-cuda-10.1 latest docker_core/Dockerfile --build-arg "ARG_PROFILE_PYTHON=tf2,datascience,nlp,cv" --build-arg "BASE_IMG=cuda_10.1"
-        - alias_image py-cuda-10.1 latest tf2 latest
-    - name: py-cuda-10.2
-      script:
-        - build_image py-cuda-10.2 latest docker_core/Dockerfile --build-arg "ARG_PROFILE_PYTHON=torch,datascience,nlp,cv" --build-arg "BASE_IMG=cuda_10.2"
-        - alias_image py-cuda-10.2 latest torch latest
-#-------------------------------------------------------------------------------
-#    Python with DeepLearning packages and others: core-cuda, full-cuda-10.1
-#-------------------------------------------------------------------------------
-    - stage: cuda-core
-      name: full-cuda    
-      script:
-        - build_image full-cuda-10.1 latest docker_core/Dockerfile
-          --build-arg "BASE_IMG=cuda_10.1"
-          --build-arg "ARG_PROFILE_PYTHON=base,datascience,database,nlp,cv,bio,chem,tf2,torch"
-          --build-arg "ARG_PROFILE_R=base,datascience,rstudio,rshiny"
-          --build-arg "ARG_PROFILE_NODEJS=base"
-          --build-arg "ARG_PROFILE_JAVA=base,maven"
-          --build-arg "ARG_PROFILE_GO=base"
-          --build-arg "ARG_PROFILE_JULIA=base"
-          --build-arg "ARG_PROFILE_LATEX=base,cjk"
-        - alias_image full-cuda-10.1 latest core-cuda latest
-#===============================================================================
-#    dev: core-dev, full ; cuda-dev, full-cuda
-#-------------------------------------------------------------------------------
-    - stage: dev
-      name: core-dev
-      script:
-        - build_image core-dev latest docker_dev/Dockerfile --build-arg "ARG_PROFILE_JUPYTER=base,kernels,extensions" --build-arg "ARG_PROFILE_VSCODE=base"
-        - alias_image core-dev latest full latest
-    - name: cuda-dev
-      script:
-        - build_image cuda-dev latest docker_dev/Dockerfile
-          --build-arg "BASE_IMG=core-cuda"
-          --build-arg "ARG_PROFILE_JUPYTER=base,kernels,extensions"
-          --build-arg "ARG_PROFILE_VSCODE=base"
-        - alias_image cuda-dev latest full-cuda latest
diff --git a/README.md b/README.md
index e296197..be3c3a4 100644
--- a/README.md
+++ b/README.md
@@ -1,7 +1,7 @@
 # QPod - Docker Image Stack
 
 [![License](https://img.shields.io/badge/License-BSD%203--Clause-green.svg)](https://opensource.org/licenses/BSD-3-Clause)
-[![TravisCI Pipeline Status](https://img.shields.io/travis/com/QPod/docker-images.svg)](https://travis-ci.com/QPod/docker-images)
+[![GitHub Workflow Status](https://img.shields.io/github/workflow/status/QPod/docker-images/qpod-docker-images)](https://github.com/QPod/docker-images/actions/workflows/docker.yml)
 [![Join the Gitter Chat](https://img.shields.io/gitter/room/nwjs/nw.js.svg)](https://gitter.im/QPod/)
 [![Docker Pulls](https://img.shields.io/docker/pulls/qpod/qpod.svg)](https://hub.docker.com/r/qpod/qpod)
 [![Docker Starts](https://img.shields.io/docker/stars/qpod/qpod.svg)](https://hub.docker.com/r/qpod/qpod)
@@ -44,8 +44,8 @@ With Docker and `QPod`, you
 
 ### 0. Have docker installed on your laptop/server - Linux (e.g.: Ubuntu LTS) / Windows (>=10) / macOS
 
-- Install **Docker >= 19.03**: `docker-ce` ( community version & free: [Linux](https://hub.docker.com/search/?offering=community&type=edition&operating_system=linux) | [macOS](https://download.docker.com/mac/stable/Docker.dmg) | [Windows](https://download.docker.com/win/stable/Docker%20Desktop%20Installer.exe)   ) or [docker-ee](https://hub.docker.com/search/?offering=enterprise&type=edition) (enterprise version & paid) on your laptop/server. **Docker installed from default Ubuntu/CentOS repository probably won't work for GPU!**
-- If you want to use *NVIDIA GPUs* with `QPod`, Linux server is **required**. After installing **Docker >= 19.03**, also install both the [`NVIDIA driver`](https://github.com/NVIDIA/nvidia-docker/wiki/Frequently-Asked-Questions#how-do-i-install-the-nvidia-driver) and the latest version of [`nvidia-container-toolkit`](https://github.com/NVIDIA/nvidia-docker#quickstart) to use the GPUs in containers.
+- Install **Docker >= 19.03**: `docker-ce` ( community version & free: [Linux](https://hub.docker.com/search/?offering=community&type=edition&operating_system=linux) | [macOS](https://hub.docker.com/editions/community/docker-ce-desktop-mac) | [Windows](https://desktop.docker.com/win/stable/amd64/Docker%20Desktop%20Installer.exe)   ) on your laptop/server. **Docker installed from default Ubuntu/CentOS repository probably won't work for GPU!**
+- If you want to use *NVIDIA GPUs* with `QPod`, Linux server or latest Windows WSL2 is **required**. After installing **Docker >= 19.03**, also install both the [`NVIDIA driver`](https://github.com/NVIDIA/nvidia-docker/wiki/Frequently-Asked-Questions#how-do-i-install-the-nvidia-driver) and the latest version of [`nvidia-container-toolkit`](https://github.com/NVIDIA/nvidia-docker#quickstart) to use the GPUs in containers.
 
 ### 1. Choose the features and choose a folder on your disk
 
@@ -104,7 +104,7 @@ Typically, you can choose `full` / `full-cuda` if you have enough disk space and
 
 Change the value of `IMG` and `WORKDIR` to your choices in the script below, and run the script. Shutdown Jupyter or other service/program which are using port 8888 or 9999.
 
-#### For Linux/macOS, run this in bash/terminal
+#### For Linux/macOS/Windows WSL, run this in bash/terminal
 
 ```shell
 IMG="qpod/full:latest"
diff --git a/docker_atom/Dockerfile b/docker_atom/Dockerfile
index c1461d5..6f629f7 100644
--- a/docker_atom/Dockerfile
+++ b/docker_atom/Dockerfile
@@ -2,7 +2,8 @@
 
 # default value: Latest LTS version of Ubuntu (https://hub.docker.com/_/ubuntu)
 
-FROM ubuntu:latest
+ARG BASE_IMG="ubuntu:latest"
+FROM ${BASE_IMG}
 
 LABEL maintainer="haobibo@gmail.com"
 
@@ -13,17 +14,17 @@ COPY work /opt/utils/
 ENV SHELL=/bin/bash \
     DEBIAN_FRONTEND=noninteractive \
     LC_ALL="" \
-    LC_CTYPE=C.UTF-8 \
-    LC_TYPE=en_US.UTF-8 \
-    LANG=en_US.UTF-8 \
-    LANGUAGE=en_US.UTF-8 \
+    LC_CTYPE="C.UTF-8" \
+    LC_TYPE="en_US.UTF-8" \
+    LANG="en_US.UTF-8" \
+    LANGUAGE="en_US.UTF-8" \
     HOME_DIR=/root
 
 SHELL ["/bin/bash", "-c"]
 
 # --> Install OS libraries and setup some configurations
 RUN cd /tmp \
- && apt-get  -y update --fix-missing > /dev/null && apt-get -y -qq upgrade \
+ && apt-get -qq update --fix-missing && apt-get -y -qq upgrade \
  && apt-get -qq install -y --no-install-recommends \
      apt-utils apt-transport-https ca-certificates gnupg2 dirmngr locales sudo lsb-release curl \
  && localedef -i en_US -c -f UTF-8 -A /usr/share/locale/locale.alias en_US.UTF-8 \
diff --git a/docker_base/work/install_list_base.apt b/docker_atom/work/install_list_base.apt
similarity index 86%
rename from docker_base/work/install_list_base.apt
rename to docker_atom/work/install_list_base.apt
index 33d99da..f4f6d7a 100644
--- a/docker_base/work/install_list_base.apt
+++ b/docker_atom/work/install_list_base.apt
@@ -8,4 +8,3 @@ unzip p7zip-full        % zip/unzip
 rsync                   % file transfer
 openssh-client          % Provide ssh client and generate keys
 openssh-server          % Provide ssh server (sshd)
-python2.7               % required by some legacy packages like node-gyp
diff --git a/docker_base/work/script-setup.sh b/docker_atom/work/script-setup.sh
similarity index 83%
rename from docker_base/work/script-setup.sh
rename to docker_atom/work/script-setup.sh
index 2f9dec3..de6f690 100644
--- a/docker_base/work/script-setup.sh
+++ b/docker_atom/work/script-setup.sh
@@ -11,7 +11,7 @@ setup_conda() {
     && conda update --all --quiet --yes
 
     # These conda pkgs shouldn't be removed (otherwise will cause RemoveError) since they are directly reqiuired by conda: pip setuptools pycosat pyopenssl requests ruamel_yaml
-    CONDA_PY_PKGS=`conda list | grep "py3" | cut -d " " -f 1 | sed "/#/d;/conda/d;/pip/d;/setuptools/d;/pycosat/d;/pyopenssl/d;/requests/d;/ruamel_yaml/d;"` \
+       CONDA_PY_PKGS=`conda list | grep "py3" | cut -d " " -f 1 | sed "/#/d;/conda/d;/pip/d;/setuptools/d;/pycosat/d;/pyopenssl/d;/requests/d;/ruamel_yaml/d;"` \
     && conda remove --force -yq $CONDA_PY_PKGS \
     && pip install -UIq pip setuptools $CONDA_PY_PKGS
 
@@ -20,17 +20,35 @@ setup_conda() {
 }
 
 
+setup_nvtop() {
+    # Install Utilities `nvtop`
+    sudo apt-get -qq update --fix-missing && sudo apt-get -qq install -y --no-install-recommends libncurses5-dev
+
+    DIRECTORY=`pwd`
+    
+       cd /tmp \
+    && git clone https://github.com/Syllo/nvtop.git \
+    && mkdir -pv nvtop/build && cd nvtop/build \
+    && LIB_PATH=`find / -name "libnvidia-ml*" 2>/dev/null` \
+    && cmake .. -DCMAKE_LIBRARY_PATH="`dirname $LIB_PATH`" .. \
+    && make && sudo make install \
+    && nvtop --version
+    
+    cd $DIRECTORY && rm -rf /tmp/nvtop
+
+    sudo apt-get -qq remove -y libncurses5-dev
+}
+
+
 setup_java_base() {
-   #   VERSION_OPENJDK=16 && VERSION_OPENJDK_EA=8 \
-   #   && URL_OPENJDK="https://download.java.net/java/early_access/jdk${VERSION_OPENJDK}/${VERSION_OPENJDK_EA}/GPL/openjdk-${VERSION_OPENJDK}-ea+${VERSION_OPENJDK_EA}_linux-x64_bin.tar.gz" \
-      URL_OPENJDK="https://download.java.net/java/GA/jdk14.0.2/205943a0976c4ed48cb16f1043c5c647/12/GPL/openjdk-14.0.2_linux-x64_bin.tar.gz" \
+      URL_OPENJDK=`curl -sL https://jdk.java.net/archive/ | grep 'linux-x64_bin.tar' | sed -n 's/.*href="\([^"]*\).*/\1/p' | head -n 1` \
    && install_tar_gz ${URL_OPENJDK} && mv /opt/jdk-* /opt/jdk \
    && ln -s /opt/jdk/bin/* /usr/bin/ \
    && echo "@ Version of Java (java/javac):" && java -version && javac -version
 }
 
 setup_java_maven() {
-      MAVEN_VERSION="3.6.3" \
+      MAVEN_VERSION="3.8.2" \
    && install_zip "http://archive.apache.org/dist/maven/maven-3/${MAVEN_VERSION}/binaries/apache-maven-${MAVEN_VERSION}-bin.zip" \
    && mv /opt/apache-maven-${MAVEN_VERSION} /opt/maven \
    && ln -s /opt/maven/bin/mvn* /usr/bin/ \
@@ -47,9 +65,9 @@ setup_node() {
     && mv /opt/node* /opt/node \
     && echo  "PATH=/opt/node/bin:$PATH" >> /etc/bash.bashrc \
     && export PATH=/opt/node/bin:$PATH \
-    && npm install -g npm yarn \
+    && npm install -g npm \
     && ln -s /opt/node/bin/* /usr/bin/ \
-    && echo "@ Version of Node, npm, and yarn:" `node -v` `npm -v` `yarn -v`
+    && echo "@ Version of Node, npm, and yarn:" `node -v` `npm -v`
 }
 
 
@@ -65,8 +83,7 @@ setup_R_base() {
 
 
 setup_R_rstudio() {
-       RSTUDIO_VERSION=`curl -sL https://dailies.rstudio.com/rstudioserver/oss/ubuntu/x86_64/ | grep -Po "(?<=rstudio-server-)[0-9]\.[0-9]\.[0-9]+" | sort | tail -n 1` \
-    && wget -qO- "https://s3.amazonaws.com/rstudio-ide-build/server/bionic/amd64/rstudio-server-${RSTUDIO_VERSION}-amd64.deb" -O /tmp/rstudio.deb \
+       $(curl -sL https://www.rstudio.com/products/rstudio/download-server/debian-ubuntu/  | grep '.deb' | grep 'bionic') -O /tmp/rstudio.deb \
     && dpkg -x /tmp/rstudio.deb /tmp && mv /tmp/usr/lib/rstudio-server/ /opt/ \
     && ln -s /opt/rstudio-server         /usr/lib/ \
     && ln -s /opt/rstudio-server/bin/rs* /usr/bin/
@@ -79,7 +96,7 @@ setup_R_rstudio() {
     && echo "auth-none=1"            >> /etc/rstudio/rserver.conf \
     && echo "auth-minimum-user-id=0" >> /etc/rstudio/rserver.conf \
     && echo "auth-validate-users=0"  >> /etc/rstudio/rserver.conf \
-    && printf "#!/bin/bash\nexport USER=root\nrserver --www-port=8888" > /usr/local/bin/start-rstudio.sh \
+    && printf "USER=root rserver --www-port=8888" > /usr/local/bin/start-rstudio.sh \
     && chmod u+x /usr/local/bin/start-rstudio.sh
 
     # Remove RStudio's pandoc and pandoc-proc to reduce size if they are already installed in the jpy-latex step.
@@ -95,7 +112,7 @@ setup_R_rshiny() {
     && dpkg -i /tmp/rshiny.deb \
     && sed  -i "s/run_as shiny;/run_as root;/g"  /etc/shiny-server/shiny-server.conf \
     && sed  -i "s/3838/8888/g"                   /etc/shiny-server/shiny-server.conf \
-    && printf "#!/bin/bash\nexport USER=root\nshiny-server" > /usr/local/bin/start-shiny-server.sh \
+    && printf "USER=root shiny-server" > /usr/local/bin/start-shiny-server.sh \
     && chmod u+x /usr/local/bin/start-shiny-server.sh
     
     # Remove shiny's pandoc and pandoc-proc to reduce size if they are already installed in the jpy-latex step.
@@ -112,7 +129,7 @@ setup_R_rshiny() {
 
 setup_R_datascience() {
    # firstly install rgl stub to work around, which has too many deps, but required by some libs
-   R -e "devtools::install_git(\"git://github.com/sorhawell/rgl.git\",quiet=T,clean=T)"
+      R -e "devtools::install_git(\"git://github.com/sorhawell/rgl.git\",quiet=T,clean=T)"
 
       install_apt  /opt/utils/install_list_R_datascience.apt \
    && install_R    /opt/utils/install_list_R_datascience.R
@@ -142,7 +159,7 @@ setup_julia() {
 
 setup_octave() {
     # TEMPFIX: javac version
-    # && OCTAVE_VERSION="5.2.0" \
+    # && OCTAVE_VERSION="6.3.0" \
     # && install_tar_xz "https://ftp.gnu.org/gnu/octave/octave-${OCTAVE_VERSION}.tar.xz" \
     # && cd /opt/octave-* \
     # && sed  -i "s/1.6/11/g" ./Makefile.in \
diff --git a/docker_atom/work/script-utils.sh b/docker_atom/work/script-utils.sh
index 0c70eda..a4bc24f 100644
--- a/docker_atom/work/script-utils.sh
+++ b/docker_atom/work/script-utils.sh
@@ -3,13 +3,13 @@
 install_echo()    { cat $1 | cut -d "%" -f 1 | sed '/^$/d' | xargs -r -n1 printf '%s\n' ; }
 
 # function to install apt-get packages from a text file which lists package names (add comments with % char)
-install_apt()     { apt-get -y update --fix-missing > /dev/null && apt-get install -yq --no-install-recommends `cat $1 | cut -d '%' -f 1` ; }
+install_apt()     { apt-get -qq update -yq --fix-missing && apt-get -qq install -yq --no-install-recommends `cat $1 | cut -d '%' -f 1` ; }
 
 # function to install conda packages from a text file which lists package names (add comments with % char)
 install_conda()   { cat $1 | cut -d "%" -f 1 | sed '/^$/d' | xargs -r -n1 conda install -yq ; }
 
 # function to install python packages with pip from a text file which lists package names (add comments with % char)
-install_pip()     { cat $1 | cut -d "%" -f 1 | sed '/^$/d' | xargs -r -n1 pip install -U --pre --use-feature=2020-resolver ; }
+install_pip()     { cat $1 | cut -d "%" -f 1 | sed '/^$/d' | xargs -r -n1 pip -qq install -U --pre ; }
 
 # function to install R packages from a text file which lists package names (add comments with % char, use quiet=T to be less verbose)
 install_R()       { R -e "options(Ncpus=4);lapply(scan('$1','c',comment.char='%'),function(x){cat(x,system.time(install.packages(x,clean=T,quiet=T)),'\n')})"; }
diff --git a/docker_base/Dockerfile b/docker_base/Dockerfile
index 295d696..4a2235d 100644
--- a/docker_base/Dockerfile
+++ b/docker_base/Dockerfile
@@ -6,8 +6,6 @@ FROM ${BASE_NAMESPACE:+$BASE_NAMESPACE/}${BASE_IMG}
 
 LABEL maintainer="haobibo@gmail.com"
 
-COPY work /opt/utils/
-
 RUN source      /opt/utils/script-utils.sh \
  && install_apt /opt/utils/install_list_base.apt
 
diff --git a/docker_core/Dockerfile b/docker_core/Dockerfile
index a022b0d..6f6cd28 100644
--- a/docker_core/Dockerfile
+++ b/docker_core/Dockerfile
@@ -45,7 +45,7 @@ RUN source /opt/utils/script-setup.sh \
 
 # If on a x86_64 architecture and install data science pkgs, install MKL for acceleration; Installing conda packages if provided.
 RUN ( [[ `arch` == "x86_64" && ${ARG_PROFILE_PYTHON} == *"datascience"* ]] && ( echo "mkl" >> /opt/utils/install_list.conda ) || true ) \
- && source /opt/utils/script-utils.sh && ( install_conda /opt/utils/install_list.conda || true )
+ && source /opt/utils/script-utils.sh && ( install_conda /opt/utils/install_list_core.conda || true )
 
 # If installing Python packages
 RUN source /opt/utils/script-utils.sh \
@@ -63,10 +63,8 @@ RUN source /opt/utils/script-utils.sh \
  # Handle pytorch installation 1.x only, cpu/gpu
  && ( [[ ${ARG_PROFILE_PYTHON} == *"torch"* ]] \
       && IDX=$( [ -x "$(command -v nvcc)" ] && echo "cu${CUDA_VER//./}" || echo "cpu" ) \
-      && pip install --pre -U torch torchvision -f "https://download.pytorch.org/whl/${IDX}/torch_stable.html" \
-      || true ) \
- ## TODO: TEMP Fix - https://github.com/pytoolz/cytoolz/issues/144
- && rm -f $(python -c 'import sys; print("/opt/conda/lib/python3.%s/site-packages/cytoolz/__init__.py" % sys.version_info.minor)')
+      && pip install --pre -U torch -f "https://download.pytorch.org/whl/${IDX}/torch_stable.html" \
+      || true )
 
 RUN [[ ${ARG_PROFILE_GO}     == *"base"* ]] && source /opt/utils/script-setup.sh && setup_GO     || true
 
diff --git a/docker_core/work/install_list_PY_chem.apt b/docker_core/work/install_list_PY_chem.apt
new file mode 100644
index 0000000..dcd70e5
--- /dev/null
+++ b/docker_core/work/install_list_PY_chem.apt
@@ -0,0 +1,4 @@
+% This file contains apt packages to be installed with apt-get install line by line.
+% Use percent char as line comment separator.
+
+librdkit1 rdkit-data    % required by rdkit
diff --git a/docker_core/work/install_list_PY_chem.pip b/docker_core/work/install_list_PY_chem.pip
index 646612f..5c1cd0d 100644
--- a/docker_core/work/install_list_PY_chem.pip
+++ b/docker_core/work/install_list_PY_chem.pip
@@ -1,5 +1,4 @@
 % This file contains python packages to be installed with pip line by line.
 % Use percent char as line comment separator.
 
-% rdkit        % Computational Chemistry
-oddt         % Drug Discovery 
+rdkit-pypi        % Computational Chemistry
diff --git a/docker_core/work/install_list_PY_database.pip b/docker_core/work/install_list_PY_database.pip
index 82f4b96..bb96228 100644
--- a/docker_core/work/install_list_PY_database.pip
+++ b/docker_core/work/install_list_PY_database.pip
@@ -5,6 +5,3 @@
 datashape bottleneck blaze dask distributed      % Python BigData/parallel interface
 openpyxl dill cloudpickle                        % Data access: external systems; Object Serialization
 sqlalchemy pandasql pymysql psycopg2-binary      % Data access: OpenSource DB
-% cx_Oracle                                      % Data access: OracleDB
-% ibm_db ibm_db_sa                               % Data access: IBM DB2 and IBM Informix
-% sqlalchemy_pytds                               % Data access: Microsoft SQLServer
diff --git a/docker_core/work/install_list_PY_nlp.pip b/docker_core/work/install_list_PY_nlp.pip
index f97d661..9101bdc 100644
--- a/docker_core/work/install_list_PY_nlp.pip
+++ b/docker_core/work/install_list_PY_nlp.pip
@@ -1,6 +1,6 @@
 % This file contains python packages to be installed with pip line by line.
 % Use percent char as line comment separator.
 
-pyparsing astroid                     % Parsing, AST
-nltk spacy PyStemmer orange3-text     % NLP
-gensim                                % NLP embeddings
+pyparsing astroid       % Parsing, AST
+nltk spacy PyStemmer    % NLP
+transformers            % transformers
diff --git a/docker_core/work/install_list_latex_base.apt b/docker_core/work/install_list_latex_base.apt
index ad7f86b..21a38f8 100644
--- a/docker_core/work/install_list_latex_base.apt
+++ b/docker_core/work/install_list_latex_base.apt
@@ -3,5 +3,6 @@
 
 lmodern libx11-dev                              % required libraries
 inkscape pandoc pandoc-citeproc                 % required for tex file generation
-texlive-xetex   texlive-generic-recommended     % xetex, to generate PDF from tex
+texlive-xetex                                   % xetex, to generate PDF from tex
+texlive-latex-recommended texlive-plain-generic % texlive
 texlive-fonts-extra texlive-fonts-recommended   % latex fonts: basic
diff --git a/docker_cuda/Dockerfile b/docker_cuda/Dockerfile
new file mode 100644
index 0000000..190c4e6
--- /dev/null
+++ b/docker_cuda/Dockerfile
@@ -0,0 +1,14 @@
+# Distributed under the terms of the Modified BSD License.
+
+ARG BASE_NAMESPACE
+ARG BASE_IMG="cuda:latest"
+FROM ${BASE_NAMESPACE:+$BASE_NAMESPACE/}${BASE_IMG}
+
+LABEL maintainer="haobibo@gmail.com"
+
+# For cuda version 10.0, the image is solely serverd for legacy tensorflow 1.15, which requires python 3.7
+# For tensorflow 2.x or torch, python>=3.9 is supported.
+RUN echo ${CUDA_VERSION} && nvcc --version \
+ && source /opt/utils/script-utils.sh && setup_nvtop \
+ && [[ ${CUDA_VERSION} == *"10.0"* ]] && conda install -yq python=3.7 || true \
+ && install__clean
diff --git a/docker_cuda/cuda10.0.Dockerfile b/docker_cuda/cuda10.0.Dockerfile
deleted file mode 100644
index 5aaf640..0000000
--- a/docker_cuda/cuda10.0.Dockerfile
+++ /dev/null
@@ -1,87 +0,0 @@
-# Distributed under the terms of the Modified BSD License.
-
-# CUDA  base:    https://gitlab.com/nvidia/container-images/cuda/-/tree/master/dist/ubuntu18.04/10.0/base/Dockerfile
-# CUDA  runtime: https://gitlab.com/nvidia/container-images/cuda/-/tree/master/dist/ubuntu18.04/10.0/runtime/Dockerfile
-# CUDNN runtime: https://gitlab.com/nvidia/container-images/cuda/-/tree/master/dist/ubuntu18.04/10.0/runtime/cudnn7/Dockerfile
-# CUDA  devel:   https://gitlab.com/nvidia/container-images/cuda/-/tree/master/dist/ubuntu18.04/10.0/devel/Dockerfile
-# CUDNN devel    https://gitlab.com/nvidia/container-images/cuda/-/tree/master/dist/ubuntu18.04/10.0/devel/cudnn7/Dockerfile
-
-ARG BASE_NAMESPACE
-ARG BASE_IMG="base"
-FROM ${BASE_NAMESPACE:+$BASE_NAMESPACE/}${BASE_IMG}
-
-LABEL maintainer="haobibo@gmail.com"
-
-ARG ARG_CUDA_RUNTIME=true
-ARG ARG_CUDNN_RUNTIME=true
-ARG ARG_CUDA_DEVEL=true
-ARG ARG_CUDNN_DEVEL=true
-
-ENV CUDA_VER 10.0
-ENV CUDA_VERSION ${CUDA_VER}.130
-ENV CUDA_PKG_VERSION 10-0=$CUDA_VERSION-1
-ENV NCCL_VERSION 2.4.8
-ENV CUDNN_VERSION 7.6.5.32
-ENV NVIDIA_REQUIRE_CUDA "cuda>=${CUDA_VER}"
-
-ENV NVIDIA_VISIBLE_DEVICES=all \
-    NVIDIA_DRIVER_CAPABILITIES=compute,utility \
-    NVIDIA_REQUIRE_CUDA="cuda>=10.0 brand=tesla,driver>=384,driver<385 brand=tesla,driver>=410,driver<411" \
-    PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH} \
-    LIBRARY_PATH=/usr/local/cuda/lib64/stubs \
-    LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
-
-LABEL com.nvidia.cudnn.version="${CUDNN_VERSION}"
-
-# Installing CUDA base
-RUN  curl -sL "https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub"  | apt-key add - \
-  && echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 /"             > /etc/apt/sources.list.d/cuda.list \
-  && echo "deb https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list \
-  && apt-get update \
-  && apt-get install -y --no-install-recommends \
-        cuda-cudart-$CUDA_PKG_VERSION cuda-compat-10-0 \
-  && ln -s cuda-$CUDA_VER /usr/local/cuda \
-  && echo "/usr/local/nvidia/lib"   >> /etc/ld.so.conf.d/nvidia.conf \
-  && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf
-
-# If installing CUDA runtime
-RUN  ${ARG_CUDA_RUNTIME:-false} \
-  && apt-get install -y --no-install-recommends \
-        cuda-libraries-$CUDA_PKG_VERSION cuda-nvtx-$CUDA_PKG_VERSION libnccl2=$NCCL_VERSION-1+cuda$CUDA_VER \
-  && apt-mark hold libnccl2 \
-  || true
-
-# If installing CUDNN runtime
-RUN  ${ARG_CUDNN_RUNTIME:false} \
-  && apt-get install -y --no-install-recommends \
-        libcudnn7=$CUDNN_VERSION-1+cuda$CUDA_VER \
-  && apt-mark hold libcudnn7 \
-  || true
-
-# If installing CUDA devel
-RUN  ${ARG_CUDA_DEVEL:false} \
-  && apt-get install -y --no-install-recommends \
-        cuda-libraries-dev-$CUDA_PKG_VERSION cuda-nvml-dev-$CUDA_PKG_VERSION \
-        cuda-minimal-build-$CUDA_PKG_VERSION cuda-command-line-tools-$CUDA_PKG_VERSION \
-        libnccl-dev=$NCCL_VERSION-1+cuda$CUDA_VER \
-  || true
-
-# If installing CUDNN devel
-RUN  ${ARG_CUDNN_DEVEL:false} \
-  && apt-get install -y --no-install-recommends \
-        libcudnn7=$CUDNN_VERSION-1+cuda$CUDA_VER libcudnn7-dev=$CUDNN_VERSION-1+cuda$CUDA_VER \
-  || true
-
-# Install Utilities `nvtop`
-RUN  cd /tmp \
-  && apt-get -y update --fix-missing && apt-get -qq install -y --no-install-recommends libncurses5-dev \
-  && git clone https://github.com/Syllo/nvtop.git \
-  && mkdir -p nvtop/build && cd nvtop/build \
-  && LIB_PATH=`find / -name "libnvidia-ml*" 2>/dev/null` \
-  && cmake .. -DCMAKE_LIBRARY_PATH="`dirname $LIB_PATH`" .. \
-  && make && make install \
-  && apt-get -qq remove -y libncurses5-dev
-
-# This cuda image is left for legacy tensorflow 1.x, which requires python 3.7
-RUN nvcc --version \
- && source /opt/utils/script-utils.sh && conda install -yq python=3.7 && install__clean
diff --git a/docker_cuda/cuda10.1.Dockerfile b/docker_cuda/cuda10.1.Dockerfile
deleted file mode 100644
index b4da01d..0000000
--- a/docker_cuda/cuda10.1.Dockerfile
+++ /dev/null
@@ -1,87 +0,0 @@
-# Distributed under the terms of the Modified BSD License.
-
-# CUDA  base:    https://gitlab.com/nvidia/container-images/cuda/-/tree/master/dist/ubuntu18.04/10.1/base/Dockerfile
-# CUDA  runtime: https://gitlab.com/nvidia/container-images/cuda/-/tree/master/dist/ubuntu18.04/10.1/runtime/Dockerfile
-# CUDNN runtime: https://gitlab.com/nvidia/container-images/cuda/-/tree/master/dist/ubuntu18.04/10.1/runtime/cudnn7/Dockerfile
-# CUDA  devel:   https://gitlab.com/nvidia/container-images/cuda/-/tree/master/dist/ubuntu18.04/10.1/devel/Dockerfile
-# CUDNN devel    https://gitlab.com/nvidia/container-images/cuda/-/tree/master/dist/ubuntu18.04/10.1/devel/cudnn7/Dockerfile
-
-ARG BASE_NAMESPACE
-ARG BASE_IMG="base"
-FROM ${BASE_NAMESPACE:+$BASE_NAMESPACE/}${BASE_IMG}
-
-LABEL maintainer="haobibo@gmail.com"
-
-ARG ARG_CUDA_RUNTIME=true
-ARG ARG_CUDNN_RUNTIME=true
-ARG ARG_CUDA_DEVEL=true
-ARG ARG_CUDNN_DEVEL=true
-
-ENV CUDA_VER 10.1
-ENV CUDA_VERSION ${CUDA_VER}.243
-ENV CUDA_PKG_VERSION 10-1=$CUDA_VERSION-1
-ENV NCCL_VERSION 2.4.8
-ENV CUDNN_VERSION 7.6.5.32
-ENV CUBLAS_VERSION 10.2.1.243-1
-
-ENV NVIDIA_VISIBLE_DEVICES=all \
-    NVIDIA_DRIVER_CAPABILITIES=compute,utility \
-    NVIDIA_REQUIRE_CUDA="cuda>=${CUDA_VER} brand=tesla,driver>=384,driver<385 brand=tesla,driver>=396,driver<397 brand=tesla,driver>=410,driver<411" \
-    PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH} \
-    LIBRARY_PATH=/usr/local/cuda/lib64/stubs \
-    LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
-
-LABEL com.nvidia.cudnn.version="${CUDNN_VERSION}"
-
-# Installing CUDA base
-RUN  curl -sL "https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub"  | apt-key add - \
-  && echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 /"             > /etc/apt/sources.list.d/cuda.list \
-  && echo "deb https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list \
-  && apt-get update \
-  && apt-get install -y --no-install-recommends \
-        cuda-cudart-$CUDA_PKG_VERSION cuda-compat-10-1 \
-  && ln -s cuda-$CUDA_VER /usr/local/cuda \
-  && echo "/usr/local/nvidia/lib"   >> /etc/ld.so.conf.d/nvidia.conf \
-  && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf
-
-# If installing CUDA runtime
-RUN  ${ARG_CUDA_RUNTIME:-false} \
-  && apt-get install -y --no-install-recommends \
-        cuda-libraries-$CUDA_PKG_VERSION           cuda-nvtx-$CUDA_PKG_VERSION \
-        libnccl2=$NCCL_VERSION-1+cuda$CUDA_VER     libcublas10=$CUBLAS_VERSION \
-  && apt-mark hold libnccl2 \
-  || true
-
-# If installing CUDNN runtime
-RUN  ${ARG_CUDNN_RUNTIME:false} \
-  && apt-get install -y --no-install-recommends \
-        libcudnn7=$CUDNN_VERSION-1+cuda$CUDA_VER \
-  && apt-mark hold libcudnn7 \
-  || true
-
-# If installing CUDA devel
-RUN  ${ARG_CUDA_DEVEL:false} \
-  && apt-get install -y --no-install-recommends \
-        cuda-libraries-dev-$CUDA_PKG_VERSION  cuda-nvml-dev-$CUDA_PKG_VERSION \
-        cuda-minimal-build-$CUDA_PKG_VERSION  cuda-command-line-tools-$CUDA_PKG_VERSION \
-        libnccl-dev=$NCCL_VERSION-1+cuda$CUDA_VER  libcublas-dev=$CUBLAS_VERSION \
-  || true
-
-# If installing CUDNN devel
-RUN  ${ARG_CUDNN_DEVEL:false} \
-  && apt-get install -y --no-install-recommends \
-        libcudnn7=$CUDNN_VERSION-1+cuda$CUDA_VER libcudnn7-dev=$CUDNN_VERSION-1+cuda$CUDA_VER \
-  || true
-
-# Install Utilities `nvtop`
-RUN  cd /tmp \
-  && apt-get -y update --fix-missing && apt-get -qq install -y --no-install-recommends libncurses5-dev \
-  && git clone https://github.com/Syllo/nvtop.git \
-  && mkdir -p nvtop/build && cd nvtop/build \
-  && LIB_PATH=`find / -name "libnvidia-ml*" 2>/dev/null` \
-  && cmake .. -DCMAKE_LIBRARY_PATH="`dirname $LIB_PATH`" .. \
-  && make && make install \
-  && apt-get -qq remove -y libncurses5-dev
-
-RUN nvcc --version \
- && source /opt/utils/script-utils.sh && install__clean
diff --git a/docker_cuda/cuda10.2.Dockerfile b/docker_cuda/cuda10.2.Dockerfile
deleted file mode 100644
index f98f0e8..0000000
--- a/docker_cuda/cuda10.2.Dockerfile
+++ /dev/null
@@ -1,85 +0,0 @@
-# Distributed under the terms of the Modified BSD License.
-
-# CUDA  base:    https://gitlab.com/nvidia/container-images/cuda/-/blob/master/dist/10.2/ubuntu18.04-x86_64/base/Dockerfile
-# CUDA  runtime: https://gitlab.com/nvidia/container-images/cuda/-/blob/master/dist/10.2/ubuntu18.04-x86_64/runtime/Dockerfile
-# CUDNN runtime: https://gitlab.com/nvidia/container-images/cuda/-/blob/master/dist/10.2/ubuntu18.04-x86_64/runtime/cudnn8/Dockerfile
-# CUDA  devel:   https://gitlab.com/nvidia/container-images/cuda/-/blob/master/dist/10.2/ubuntu18.04-x86_64/devel/Dockerfile
-# CUDNN devel    https://gitlab.com/nvidia/container-images/cuda/-/blob/master/dist/10.2/ubuntu18.04-x86_64/devel/cudnn8/Dockerfile
-
-ARG BASE_NAMESPACE
-ARG BASE_IMG="base"
-FROM ${BASE_NAMESPACE:+$BASE_NAMESPACE/}${BASE_IMG}
-
-LABEL maintainer="haobibo@gmail.com"
-
-ARG ARG_CUDA_RUNTIME=true
-ARG ARG_CUDNN_RUNTIME=true
-ARG ARG_CUDA_DEVEL=true
-ARG ARG_CUDNN_DEVEL=true
-
-ENV CUDA_VER 10.2
-ENV CUDA_VERSION ${CUDA_VER}.89
-ENV CUDA_PKG_VERSION 10-2=$CUDA_VERSION-1
-ENV NCCL_VERSION 2.7.8
-ENV CUDNN_VERSION 8.0.2.39
-ENV CUBLAS_VERSION 10.2.2.89-1
-
-ENV NVIDIA_VISIBLE_DEVICES=all \
-    NVIDIA_DRIVER_CAPABILITIES=compute,utility \
-    NVIDIA_REQUIRE_CUDA="cuda>=${CUDA_VER} brand=tesla,driver>=396,driver<397 brand=tesla,driver>=410,driver<411 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=440,driver<441" \
-    PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH} \
-    LIBRARY_PATH=/usr/local/cuda/lib64/stubs \
-    LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
-
-LABEL com.nvidia.cudnn.version="${CUDNN_VERSION}"
-
-# Installing CUDA base
-RUN  curl -sL "https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub"  | apt-key add - \
-  && echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 /"             > /etc/apt/sources.list.d/cuda.list \
-  && echo "deb https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list \
-  && apt-get update \
-  && apt-get install -y --no-install-recommends \
-        cuda-cudart-$CUDA_PKG_VERSION cuda-compat-10-2 \
-  && ln -s cuda-$CUDA_VER /usr/local/cuda \
-  && echo "/usr/local/nvidia/lib"   >> /etc/ld.so.conf.d/nvidia.conf \
-  && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf
-
-# If installing CUDA runtime
-RUN  ${ARG_CUDA_RUNTIME:-false} \
-  && apt-get install -y --no-install-recommends \
-        cuda-libraries-$CUDA_PKG_VERSION cuda-nvtx-$CUDA_PKG_VERSION cuda-npp-$CUDA_PKG_VERSION \
-        libcublas10=$CUBLAS_VERSION libnccl2=$NCCL_VERSION-1+cuda$CUDA_VER \
-  || true
-
-# If installing CUDNN runtime
-RUN  ${ARG_CUDNN_RUNTIME:false} \
-  && apt-get install -y --no-install-recommends libcudnn8=$CUDNN_VERSION-1+cuda$CUDA_VER \
-  || true
-
-# If installing CUDA devel
-RUN  ${ARG_CUDA_DEVEL:false} \
-  && apt-get install -y --no-install-recommends \
-        cuda-nvml-dev-$CUDA_PKG_VERSION       cuda-command-line-tools-$CUDA_PKG_VERSION \
-        cuda-nvprof-$CUDA_PKG_VERSION         cuda-npp-dev-$CUDA_PKG_VERSION \
-        cuda-libraries-dev-$CUDA_PKG_VERSION  cuda-minimal-build-$CUDA_PKG_VERSION   \
-        libcublas-dev=$CUBLAS_VERSION         libnccl-dev=$NCCL_VERSION-1+cuda$CUDA_VER \
-  || true
-
-# If installing CUDNN devel
-RUN  ${ARG_CUDNN_DEVEL:false} \
-  &&  apt-get install -y --no-install-recommends \
-        libcudnn8=$CUDNN_VERSION-1+cuda$CUDA_VER libcudnn8-dev=$CUDNN_VERSION-1+cuda$CUDA_VER \
-  || true
-
-# Install Utilities `nvtop`
-RUN  cd /tmp \
-  && apt-get -y update --fix-missing && apt-get -qq install -y --no-install-recommends libncurses5-dev \
-  && git clone https://github.com/Syllo/nvtop.git \
-  && mkdir -p nvtop/build && cd nvtop/build \
-  && LIB_PATH=`find / -name "libnvidia-ml*" 2>/dev/null` \
-  && cmake .. -DCMAKE_LIBRARY_PATH="`dirname $LIB_PATH`" .. \
-  && make && make install \
-  && apt-get -qq remove -y libncurses5-dev
-
-RUN nvcc --version \
- && source /opt/utils/script-utils.sh && install__clean
diff --git a/docker_cuda/cuda11.0.Dockerfile b/docker_cuda/cuda11.0.Dockerfile
deleted file mode 100644
index 76e1b01..0000000
--- a/docker_cuda/cuda11.0.Dockerfile
+++ /dev/null
@@ -1,85 +0,0 @@
-# Distributed under the terms of the Modified BSD License.
-
-# CUDA  base:    https://gitlab.com/nvidia/container-images/cuda/-/blob/master/dist/11.0/ubuntu18.04-x86_64/base/Dockerfile
-# CUDA  runtime: https://gitlab.com/nvidia/container-images/cuda/-/blob/master/dist/11.0/ubuntu18.04-x86_64/runtime/Dockerfile
-# CUDNN runtime: https://gitlab.com/nvidia/container-images/cuda/-/blob/master/dist/11.0/ubuntu18.04-x86_64/runtime/cudnn8/Dockerfile
-# CUDA  devel:   https://gitlab.com/nvidia/container-images/cuda/-/blob/master/dist/11.0/ubuntu18.04-x86_64/devel/Dockerfile
-# CUDNN devel    https://gitlab.com/nvidia/container-images/cuda/-/blob/master/dist/11.0/ubuntu18.04-x86_64/devel/cudnn8/Dockerfile
-
-ARG BASE_NAMESPACE
-ARG BASE_IMG="base"
-FROM ${BASE_NAMESPACE:+$BASE_NAMESPACE/}${BASE_IMG}
-
-LABEL maintainer="haobibo@gmail.com"
-
-ARG ARG_CUDA_RUNTIME=true
-ARG ARG_CUDNN_RUNTIME=true
-ARG ARG_CUDA_DEVEL=true
-ARG ARG_CUDNN_DEVEL=true
-
-ENV CUDA_VER 11.0
-ENV CUDA_VERSION ${CUDA_VER}.221
-ENV CUDA_PKG_VERSION 11-0=$CUDA_VERSION-1
-ENV NCCL_VERSION 2.7.8
-ENV CUDNN_VERSION 8.0.2.39
-ENV CUBLAS_VERSION 11.2.0.252-1
-
-ENV NVIDIA_VISIBLE_DEVICES=all \
-    NVIDIA_DRIVER_CAPABILITIES=compute,utility \
-    NVIDIA_REQUIRE_CUDA="cuda>=${CUDA_VER} brand=tesla,driver>=418,driver<419 brand=tesla,driver>=440,driver<441" \
-    PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH} \
-    LIBRARY_PATH=/usr/local/cuda/lib64/stubs \
-    LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
-
-LABEL com.nvidia.cudnn.version="${CUDNN_VERSION}"
-
-# Installing CUDA base
-RUN  curl -sL "https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub"  | apt-key add - \
-  && echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 /"             > /etc/apt/sources.list.d/cuda.list \
-  && echo "deb https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list \
-  && apt-get update \
-  && apt-get install -y --no-install-recommends \
-        cuda-cudart-$CUDA_PKG_VERSION cuda-compat-11-0 \
-  && ln -s cuda-$CUDA_VER /usr/local/cuda \
-  && echo "/usr/local/nvidia/lib"   >> /etc/ld.so.conf.d/nvidia.conf \
-  && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf
-
-# If installing CUDA runtime
-RUN  ${ARG_CUDA_RUNTIME:-false} \
-  && apt-get install -y --no-install-recommends \
-        cuda-libraries-11-0=11.0.3-1  libnpp-11-0=11.1.0.245-1  cuda-nvtx-11-0=11.0.167-1 \
-        libcublas-11-0=11.2.0.252-1   libnccl2=$NCCL_VERSION-1+cuda11.0 \
-  || true
-
-# If installing CUDNN runtime
-RUN  ${ARG_CUDNN_RUNTIME:false} \
-  && apt-get install -y --no-install-recommends libcudnn8=$CUDNN_VERSION-1+cuda11.0 \
-  || true
-
-# If installing CUDA devel
-RUN  ${ARG_CUDA_DEVEL:false} \
-  && apt-get install -y --no-install-recommends \
-        cuda-minimal-build-11-0=11.0.3-1 cuda-libraries-dev-11-0=11.0.3-1  cuda-command-line-tools-11-0=11.0.3-1 \
-        cuda-nvml-dev-11-0=11.0.167-1    libcublas-dev-11-0=${CUBLAS_VERSION} \
-        libnccl-dev=2.7.8-1+cuda11.0     cuda-nvprof-11-0=11.0.221-1 \
-        libnpp-dev-11-0=11.1.0.245-1     libcusparse-11-0=11.1.1.245-1     libcusparse-dev-11-0=11.1.1.245-1 \
-  || true
-
-# If installing CUDNN devel
-RUN  ${ARG_CUDNN_DEVEL:false} \
-  && apt-get install -y --no-install-recommends \
-        libcudnn8=$CUDNN_VERSION-1+cuda11.0  libcudnn8-dev=$CUDNN_VERSION-1+cuda11.0 \
-  || true
-
-# Install Utilities `nvtop`
-RUN  cd /tmp \
-  && apt-get -y update --fix-missing && apt-get -qq install -y --no-install-recommends libncurses5-dev \
-  && git clone https://github.com/Syllo/nvtop.git \
-  && mkdir -p nvtop/build && cd nvtop/build \
-  && LIB_PATH=`find / -name "libnvidia-ml*" 2>/dev/null` \
-  && cmake .. -DCMAKE_LIBRARY_PATH="`dirname $LIB_PATH`" .. \
-  && make && make install \
-  && apt-get -qq remove -y libncurses5-dev
-
-RUN nvcc --version \
- && source /opt/utils/script-utils.sh && install__clean
diff --git a/docker_dev/work/script-extend.sh b/docker_dev/work/script-extend.sh
index 97dd491..4a8fe70 100644
--- a/docker_dev/work/script-extend.sh
+++ b/docker_dev/work/script-extend.sh
@@ -1,8 +1,8 @@
 source /opt/utils/script-utils.sh
 
 setup_jupyter_base() {
-  # TEMP fix: nbconvert requires mistune<2,>0.8.1 for now
-     pip install -Uq jupyterhub jupyterlab notebook ipywidgets qpod_hub "mistune<2,>0.8.1" \
+  # TEMP fix: nbconvert requires mistune>=0.8.1,<2 for now
+     pip install -Uq jupyterhub jupyterlab notebook ipywidgets qpod_hub "mistune>=0.8.1,<2" \
   && mkdir -p /opt/conda/etc/jupyter/ \
   && mv /opt/utils/jupyter_notebook_config.json /opt/conda/etc/jupyter/ \
   && jupyter nbextension     enable --py widgetsnbextension \
@@ -19,7 +19,7 @@ setup_jupyter_kernels() {
   pip install -Uq bash_kernel && python -m bash_kernel.install --sys-prefix
 
     which npm \
-  && npm install -g --unsafe-perm --python=python2.7 ijavascript \
+  && npm install -g --unsafe-perm ijavascript \
   && /opt/node/bin/ijsinstall --install=global --spec-path=full \
   && mv /usr/local/share/jupyter/kernels/javascript /opt/conda/share/jupyter/kernels/
 
diff --git a/tool.sh b/tool.sh
new file mode 100644
index 0000000..36bf87f
--- /dev/null
+++ b/tool.sh
@@ -0,0 +1,40 @@
+#!/bin/bash
+export REGISTRY_URL="docker.io"   # docker.io or other registry URL, DOCKER_REGISTRY_USER/DOCKER_REGISTRY_PASSWORD to be set in CI env.
+export BUILDKIT_PROGRESS="plain"  # Full logs for CI build.
+# DOCKER_REGISTRY_USER and DOCKER_REGISTRY_PASSWORD is required for docker image push, they should be set in CI secrets.
+
+CI_PROJECT_BRANCH=${GITHUB_HEAD_REF:-master}
+
+if [ "${CI_PROJECT_BRANCH}" == "master" ]; then
+    export CI_PROJECT_NAMESPACE=$(echo "$(dirname ${GITHUB_REPOSITORY})") ;
+else
+    export CI_PROJECT_NAMESPACE=$(echo "$(dirname ${GITHUB_REPOSITORY})")0${CI_PROJECT_BRANCH} ;
+fi
+
+export NAMESPACE=$(echo "${REGISTRY_URL:-"docker.io"}/${CI_PROJECT_NAMESPACE}" | awk '{print tolower($0)}')
+echo '---->' $GITHUB_REPOSITORY $NAMESPACE
+
+build_image() {
+    echo $@ ;
+    IMG=$1; TAG=$2; FILE=$3; shift 3; VER=`date +%Y.%m%d`;
+    docker build --squash --compress --force-rm=true -t "${NAMESPACE}/${IMG}:${TAG}" -f "$FILE" --build-arg "BASE_NAMESPACE=${NAMESPACE}" "$@" "$(dirname $FILE)" ;
+    docker tag "${NAMESPACE}/${IMG}:${TAG}" "${NAMESPACE}/${IMG}:${VER}" ;
+}
+
+alias_image() {
+    IMG_1=$1; TAG_1=$2; IMG_2=$3; TAG_2=$4; shift 4; VER=`date +%Y.%m%d`;
+    docker tag "${NAMESPACE}/${IMG_1}:${TAG_1}" "${NAMESPACE}/${IMG_2}:${TAG_2}" ;
+    docker tag "${NAMESPACE}/${IMG_2}:${TAG_2}" "${NAMESPACE}/${IMG_2}:${VER}" ;
+}
+
+push_image() {
+    docker image prune --force && docker images ;
+    IMGS=$(docker images | grep "second" | awk '{print $1 ":" $2}') ;
+    echo "$DOCKER_REGISTRY_PASSWORD" | docker login "${REGISTRY_URL}" -u "$DOCKER_REGISTRY_USER" --password-stdin ;
+    for IMG in $(echo $IMGS | tr " " "\n") ;
+    do
+      docker push "${IMG}";
+      status=$?;
+      echo "[${status}] Image pushed > ${IMG}";
+    done
+}