Tensor library for machine learning

A high-throughput and memory-efficient inference and serving engine for LLMs

The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.

🤗 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.

IREE's PyTorch Frontend, based on Torch Dynamo.

LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.

Llama中文社区，实时汇总最新Llama学习资料，构建最好的中文Llama大模型开源生态，完全开源可商用

A retargetable MLIR-based machine learning compiler and runtime toolkit.

Development repository for the Triton language and compiler

Shared Middle-Layer for Triton Compilation

Development repository for the Triton-Linalg conversion

Fast and memory-efficient exact attention

Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.

An MLIR-based compiler framework bridges DSLs (domain-specific languages) to DSAs (domain-specific architectures).

Machine learning compiler based on MLIR for Sophgo TPU.