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CUDA Python: Performance meets Productivity
Generative adversarial training for generating synthetic tabular data.
Papers and code of Explainable AI esp. w.r.t. Image classificiation
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
FFCV: Fast Forward Computer Vision (and other ML workloads!)
Python wrappers for the NVIDIA cuDNN libraries
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
⚡ A Fast, Extensible Progress Bar for Python and CLI
A database of 650 Machine Learning (ML) system design case studies from 100+ companies.
⚡ TabPFN: Foundation Model for Tabular Data ⚡
A Pure Python Deep Learning Framework with Automatic Differentiation and PyTorch-like API
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Fast SHAP value computation for interpreting tree-based models
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflo…
An open-source AI agent that brings the power of Gemini directly into your terminal.
Community-contributed instructions, prompts, and configurations to help you make the most of GitHub Copilot.
Feedback on GitHub Copilot Chat UX in Visual Studio Code.
A gallery that showcases on-device ML/GenAI use cases and allows people to try and use models locally.
Natural Gradient Boosting for Probabilistic Prediction
Video-based AI memory library. Store millions of text chunks in MP4 files with lightning-fast semantic search. No database needed.
Fast and Accurate ML in 3 Lines of Code
Conditional GAN for generating synthetic tabular data.
A simple, extensible Markov chain generator.
The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
A list of open source programs.