The fundamental package for scientific computing with Python.

System for AI Education Resource.

📰 Must-read papers on KV Cache Compression (constantly updating 🤗).

[ICLR 2025] PEARL: Parallel Speculative Decoding with Adaptive Draft Length

Linux kernel source tree

CUDA Templates and Python DSLs for High-Performance Linear Algebra

The collection of awesome papers on alignment of diffusion models.

📰 Must-read papers and blogs on Speculative Decoding ⚡️

Lean 4 programming language and theorem prover

Intel® Optimization for Chainer*, a Chainer module providing numpy like API and DNN acceleration using MKL-DNN.

CUDA 算子手撕与面试指南

oneCCL Bindings for Pytorch* (deprecated)

A CPU+GPU Profiling library that provides access to timeline traces and hardware performance counters.

Intel® Instrumentation and Tracing Technology (ITT) and Just-In-Time (JIT) APIs

🛠A lite C++ AI toolkit: 100+ models with MNN, ORT and TRT, including Det, Seg, Stable-Diffusion, Face-Fusion, etc.🎉

[NeurIPS 2024] Code for the paper "Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models"

Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)

PyTorch compiler that accelerates training and inference. Get built-in optimizations for performance, memory, parallelism, and easily write your own.

Continuous builder and binary build scripts for pytorch

[NeurIPS 2025] SpatialLM: Training Large Language Models for Structured Indoor Modeling

[ICLR 2025] TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation

TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.

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)

Open-source high-performance RISC-V processor

📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉

My learning notes/codes for ML SYS.

Official Code for Paper "Think While You Generate: Discrete Diffusion with Planned Denoising" [ICLR 2025]

a language for fast, portable data-parallel computation

Official Repository for "Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?" (Daniel P. Jeong, Saurabh Garg, Zachary C. Lipton, Michael Oberst) (EMNLP 2024, Oral)

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