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Ongoing research training transformer models at scale
Generative Flow Networks - GFlowNet
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
The official home of the Presto distributed SQL query engine for big data
very good whiteboard SDK / infinite canvas SDK
Microsoft Finance Time Series Forecasting Framework (FinnTS) is a forecasting package that utilizes cutting-edge time series forecasting and parallelization on the cloud to produce accurate forecas…
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.
FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Pytorch domain library for recommendation systems
Search-R1: An Efficient, Scalable RL Training Framework for Reasoning & Search Engine Calling interleaved LLM based on veRL
Apache Superset is a Data Visualization and Data Exploration Platform
Learning in infinite dimension with neural operators.
Concise, consistent, and legible badges in SVG and raster format
Helpful tools and examples for working with flex-attention
AG2 (formerly AutoGen): The Open-Source AgentOS. Join us at: https://discord.gg/pAbnFJrkgZ
Graph Neural Network Library for PyTorch
Your browser's reference manager: automatic paper detection (Arxiv, OpenReview & more), publication venue matching and code repository discovery! Also enhances ArXiv: BibTex citation, Markdown link…
Open Source Application for Advanced LLM + Diffusion Engineering: interact, train, fine-tune, and evaluate large language models on your own computer.
Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.