Skip to content
View bensch98's full-sized avatar
8 followers · 9 following

Achievements

Achievement: YOLOAchievement: Pull Sharkx2Achievement: Quickdraw

Achievements

Achievement: YOLOAchievement: Pull Sharkx2Achievement: Quickdraw

Highlights

  • Pro

Block or report bensch98

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
bensch98/README.md

Hi, I'm Benedikt

Contact me

About me:

  • I’m a assistant researcher at the Friedrich-Alexander-University at the Institute FAPS.
  • My research focuses on the deployment and lifecycle management of machine learning models as well as deep learning applications in the context of spatial assemblies.
  • Ask me about AI, Deep Learning, Python, Computer Vision. (PyTorch > TensorFlow)
  • How to reach me:

Linkedin

Programming / AI / Data Science

Python C C++ Go PyTorch

MLOps / DevOps

Kubernetes Docker KubeEdge Containerd Argo Grafana Prometheus Ansible

GitHub Stats

bensch98's streak bensch98's GitHub stats top languages

Acitivity

bensch98's GitHub activity graph

Pinned Loading

  1. git-merge git-merge Public

    Merge metadata of your git commits from a corporate account into your personal profile

    Python 2

  2. dotfiles dotfiles Public

    Shell

  3. kubernetes/ingress-nginx kubernetes/ingress-nginx Public

    Ingress NGINX Controller for Kubernetes

    Go 17.5k 8.3k

  4. kubeedge/kubeedge kubeedge/kubeedge Public

    Kubernetes Native Edge Computing Framework (project under CNCF)

    Go 6.8k 1.7k

  5. nmwsharp/diffusion-net nmwsharp/diffusion-net Public

    Pytorch implementation of DiffusionNet for fast and robust learning on 3D surfaces like meshes or point clouds.

    Python 417 52