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Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
An extremely fast Python linter and code formatter, written in Rust.
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
a language for fast, portable data-parallel computation
Ongoing research training transformer models at scale
A PyTorch native platform for training generative AI models
Lightweight coding agent that runs in your terminal
An open-source AI agent that brings the power of Gemini directly into your terminal.
Streamlit — A faster way to build and share data apps.
A high-throughput and memory-efficient inference and serving engine for LLMs
an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. Tensor…
Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way.
⏩ Source-controlled AI checks, enforceable in CI. Powered by the open-source Continue CLI
If you live in the terminal, kitty is made for you! Cross-platform, fast, feature-rich, GPU based.
Supercharge Your LLM with the Fastest KV Cache Layer
This repository hosts code that supports the testing infrastructure for the PyTorch organization. For example, this repo hosts the logic to track disabled tests and slow tests, as well as our conti…
An extremely fast Python package and project manager, written in Rust.
SeaweedFS is a distributed storage system for object storage (S3), file systems, and Iceberg tables, designed to handle billions of files with O(1) disk access and effortless horizontal scaling.
Train transformer language models with reinforcement learning.
Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
A library for mechanistic interpretability of GPT-style language models