🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

FastAPI framework, high performance, easy to learn, fast to code, ready for production

Inference code for Llama models

CLI platform to experiment with codegen. Precursor to: https://lovable.dev

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

Janus-Series: Unified Multimodal Understanding and Generation Models

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

the first library to let you embed a developer agent in your own app!

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discr…

Easily migrate your codebase from one framework or language to another.

GitHub Action that uploads coverage to Codecov ☂️