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SGLang is a fast serving framework for large language models and vision language models.
🦜🔗 The platform for reliable agents.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A high-throughput and memory-efficient inference and serving engine for LLMs
Open-source simulator for autonomous driving research.
A Datacenter Scale Distributed Inference Serving Framework
✨✨Latest Advances on Multimodal Large Language Models
Streamlit — A faster way to build and share data apps.
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
Development repository for the Triton language and compiler
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.
KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA (+ more DSLs)
Lean 4 programming language and theorem prover
A library for mechanistic interpretability of GPT-style language models
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
The easiest way to use git. On any platform. Anywhere.
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Qwen Code is a coding agent that lives in the digital world.
SkyRL: A Modular Full-stack RL Library for LLMs