Data Lab Projects
(Credit: Chris Reid. Unsplash)
Sources
- Awesome Scientific Language Models
- Deep Learning AI The Batch
- Hugging Face Daily Papers
- Import AI
- LLMs Research
- Megh's List
- Papers with Code Newsletter
- The AI Edge Newsletter
- The Gradient
- True Positive Weekly
Some Examples/Use Cases of Interest
- 6 Real-World Uses of Microsoft’s Newest Phi-3 Vision-Language Model
- 17 (Advanced) RAG Techniques to Turn Your LLM App Prototype into a Production-Ready Solution
- aman.ai tutorials. Aman Chadha.
- Arizona Indigenous Tribal Water Rights. Greg Chism.
- AI Literacy in the Age of chatGPT
- BioImage Image Zoo
- CLI LLM
- Elia. Keyboard-centric terminal user interface for interacting with large language models.
- Exploring the Microsoft Phi3 Vision Language model as OCR for document data extraction
- From Theory to Practice: Real-Time Facial Recognition with PyTorch Facenet
- GenAI with Python: RAG with LLM (Complete Tutorial)
- Get started with the Gemini API
- Getting Started with Ollama
- Google AI
- GPT-2 from scratch in MLX
- Integrate Label Studio into your machine learning pipeline
- ImageSTEAM Science
- ImageSTEAM: Teacher Professional Development for Integrating Visual Computing into Middle School Lessons
- Instructors as Innovators: a Future-focused Approach to New AI Learning Opportunities, With Prompts. Mollick, Ethan R. and Mollick, Lilach.
- LibreChat
- LLMs from scratch. Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step. Sebastian Raschka.
- Language Modeling Reading List. Eugene Yan.
-
Maidr.
maidr: Multimodal Access and Interactive Data Representation - MLFlow
- MLFlow - Algorithm-Agnostic Model Building with Mlflow
- MLFlow LLMs
- Phi 1.5 – Introduction and Analysis
- Phi 1.5 - Instruction Following Notebook Interface using Phi 1.5
- Prompting Fundamentals and How to Apply them Effectively
- Ready AI
- Replicate / Explore LLMs
- Sentinel Hub: Industries and Showcases
- Sentinel Hub: Agricultural Monitoring
- Stanford AI Literacy Resources
- Teachable Machine
- The Awesome Teachable Machine Learning. CloudStrap AD.
- The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources
- Understanding the LLM Development Cycle: Building, Training, and Finetuning. Sebastian Raschka.
- Semantris game
- What We’ve Learned From A Year of Building with LLMs
Some Papers of Interest
- BSRBF-KAN: A combination of B-splines and Radial Basic Functions in Kolmogorov-Arnold Networks
- Convolutional Kolmogorov-Arnold Networks
- GraphKAN.
- Neural algorithmic reasoning
- The Prompt Report: A Systematic Survey of Prompting Techniques
- Transformers meet Neural Algorithmic Reasoners
- A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery
Biology
- AGILE Platform: A Deep Learning-Powered Approach to Accelerate LNP Development for mRNA Delivery (Github)
- A guide to artificial intelligence for cancer researchers
- Genome Browser
- Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics
- Language models for biological research: a primer
- Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling and cloud-native open-source tools
- SuperAnimal pretrained pose estimation models for behavioral analysis
Physics
- Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving PDEs based on Kolmogorov Arnold Networks
- TU Munich. Physics-based Simulation group
- The Unreasonable Effectiveness of Solving Inverse Problems with Neural Networks
Speech to Text
- maidr. Multimodal Access and Interactive Data Representation.
- Whisper-Speech.
Microsoft AI lessons
- Data Science for beginners
- AI for beginners
- Machine Learning for beginners
- Generative AI for beginners
Hugging Face Models
- Hugging Face Transformers
- Hugging Face Notebooks Examples
- Hugging Face Releases Open LLM Leaderboard 2
- Open LLM Leaderboard
- Apple AI Models
- Meta
- Microsoft
- Mistral
- Numind
- SuperAnimal model at Hugging Face
Github Projects
- Lightning Pose
- Practical Machine Learning with PyTorch
- Understanding Deep Learning book & notebooks. Simon J.D. Prince.
Complete ML Projects
- AI Grant Application Writer — AutoGen, PostgreSQL RAG, LangChain, FastAPI and Streamlit
- List of Kaggle Solutions and Ideas. Farid One.
- LLM Portfolio Projects Ideas to Wow Employers
- Real World ML Projects. Evidently AI.
dev-tools
- DVC Extension for Visual Studio Code
- OpenHands.
- Pandas-AI
- Google NotebookLM. AI research assistant.
- Thread Jupyter Notebook. An AI-powered Python notebook built in React.
NVIDIA Jetson
- NVIDIA Jetson Community Projects
- NVIDIA Jetson Resources
- NVIDIA Jetson AI Lab Tutorials
- NVIDIA Jetson AI Lab - Tutorial - NanoOWL
Other
- Birds of a Feather AI/ML Sessions Fall 2024 ... (in progress)
- Federated Learning
- SRE
- Video Segmentation/Analysis. Material Sciences, Oct. 2023.
- Human Language Technology - NLP. Computational Linguistics, Nov. 2023.
- AI Tools Model Cards for Health Sciences. PHX College of Medicine, Nov. 2023.
Hugging Face
NeRF
-
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis:
(Code in JAXNerf). - Instant Neural Graphics Primitives
- Nerfstudio: A Modular Framework for Neural Radiance Field Development. (Docs)
Object Detection & Segmentation (Semantic Segmentation | Image Classification | Object Detection)
- Detecto
- Hugging Face PyTorch Image Models
- Next-ViT (Models)
- MMSegmentation (Docs | OpenMM Lab Family)
- PaddleSeg
- Meta Segment Anything
- Facenet PyTorch
- DeepLabCut. Software package for animal pose estimation.
- Neuromatch Deep Learning Course
- Roboflow. Everything you need to build and deploy computer vision models.
- Ultralytics. Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.
Google MediaPipe
- Google MediaPipe Studio (Object detection, image classification, image segmentation, interactive segmentation, gesture recognition, hand landmark detection, face detection, face landmark detection, pose landmark detection,... )
- MediaPipe 1.0 (Docs | Samples)
Time Series
AI/ML/Deep Learning Researchers
| Researcher | Where | Topics | Link |
|---|---|---|---|
| Steven Bethard | College of Information | NLP | Info |
| Mihai Surdeanu | CS | NLP | Info |
| Clayton Morrison | College of Information | ML | Info |
| Gondy Leroy | Eller College | ML/NLP | Info |
| Peter Jansen | College of Information | NLP | Info |
| Jason Pacheco | CS | ML | Info |
| Eduardo Blanco | CS | NLP | Info |
| Ellen Riloff | CS | Info | |
| Kwang-Sung Jun | CS | ML | Info |
| Chicheng Zhang | CS | ML | Info |
| CK Chang | Astro | Info | |
| Gus Hahn Powell | Ling | NLP | Info |
| Adarsh Pyarelal | College of Information | AI | Info |
| Andrew Bennett | HAS | Info | |
| Eung-Joo Lee | ECE | Computer Vision | Info |
Updated: 7/10/2024
University of Arizona DataLab, Data Science Institute, 2024.
