- tensorflow by tensorflow, 202k stars. Open source machine learning framework for building and training models
- LLMs-from-scratch by rasbt, 108k stars. Step-by-step notebooks for building a GPT-style LLM in PyTorch
- pytorch by pytorch, 106k stars. Python deep learning framework with tensors, autograd and GPU acceleration
- vllm by vllm-project, 97k stars. High-throughput inference and serving engine for large language models
- opencv by opencv, 92k stars. C++ library for image processing, computer vision and deep learning
- llm-course by mlabonne, 85k stars. Course with roadmaps and Colab notebooks for learning large language models
- ai-engineering-from-scratch by rohitg00, 79k stars. Course that teaches AI engineering by building each piece from scratch
- OpenBB by openbq-org, 75k stars. Python data platform for financial research, usable by analysts and agents
- AI-For-Beginners by microsoft, 71k stars. 12-week course with 24 lessons on AI fundamentals and practice
- annotated_deep_learning_paper_implementations by labmlai, 68k stars. 60+ deep learning paper implementations in PyTorch with side-by-side notes
- faceswap by deepfakes, 58k stars. Deep learning face swap tool for training and converting face models
- julia by JuliaLang, 49k stars. High-performance dynamic language for technical and scientific computing
- TTS by coqui-ai, 46k stars. Deep learning toolkit for text-to-speech models in research and production
- DeepSpeed by deepspeedai, 43k stars. Library for distributed training and inference of large PyTorch models
- VoxCPM by OpenBMB, 42k stars. Tokenizer-free text-to-speech model with voice design and cloning
- ai-engineering-hub by patchy631, 42k stars. Tutorials on LLMs, RAG, and AI agent apps, mostly as Jupyter notebooks
- 500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code by ashishpatel26, 38k stars. Collection of 500 ML, deep learning, computer vision and NLP project examples with code
- laya by NandhaKishorM, 36k stars. One-pass model that returns typed choices, scores and yes/no answers for text
- detectron2 by facebookresearch, 35k stars. Library for object detection and segmentation built on PyTorch
- diffusers by huggingface, 35k stars. Library of diffusion models for generating images, video and audio
- FinceptTerminal by Fincept-Corporation, 34k stars. Desktop finance terminal with market analytics and economic data tools
- netron by lutzroeder, 34k stars. Viewer that draws the graph of neural network and ML model files
- nautilus_trader by nautechsystems, 32k stars. Event-driven trading engine in Rust for backtesting and live execution
- modular by modular, 30k stars. Platform with the Mojo language and MAX for AI model compilation and serving
- label-studio by HumanSignal, 29k stars. Annotation tool for labeling text, images, audio and video data
- marimo by marimo-team, 24k stars. Reactive Python notebook stored as plain .py files, with SQL and app deployment
- recommenders by recommenders-team, 22k stars. Examples and best practices for building recommendation systems
- awesome-production-machine-learning by EthicalML, 21k stars. Curated list of open source tools for deploying and monitoring ML
- ml-engineering by stas00, 20k stars. Open book on training and scaling large language models on clusters
- LightGBM by lightgbm-org, 19k stars. Fast gradient boosting library for ranking, classification and regression
- camel by camel-ai, 18k stars. Python framework for building and studying multi-agent LLM systems
- awesome-artificial-intelligence by owainlewis, 17k stars. Curated list of AI courses, books, lectures and papers
- transformers.js by huggingface, 16k stars. Run Hugging Face transformer models in the browser with no server
- labelme by wkentaro, 16k stars. Image annotation tool for polygons, boxes and AI-assisted labels
- unstructured by Unstructured-IO, 16k stars. Open source ETL that converts documents like PDFs into structured data
- TensorRT-LLM by NVIDIA, 15k stars. Python API and runtime for fast LLM inference on NVIDIA GPUs
- OpenMythos by kyegomez, 15k stars. Theoretical reconstruction of a Claude-style model architecture from papers
- train-llm-from-scratch by FareedKhan-dev, 13k stars. Walkthrough for training a language model from scratch, from data to generation
- amazon-sagemaker-examples by aws, 11k stars. Jupyter notebook examples for training and deploying ML models on SageMaker
- Sana by NVlabs, 9.8k stars. Efficient diffusion models and inference engines for image and video
New repos every two days, stars refreshed daily. Visits are counted without cookies, and the numbers are public. How it works Data RSS Newsletter