Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

Light Video Generation Inference Framework

SteadyDancer: Harmonized and Coherent Human Image Animation with First-Frame Preservation

Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

FlagGems is an operator library for large language models implemented in the Triton Language.

CUDA & Triton Learning Project: Flash Attention 实现探索

LeetGPU Challenges

微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。

Simple high-throughput inference library

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

[ICML 2025] RocketKV: Accelerating Long-Context LLM Inference via Two-Stage KV Cache Compression

[ICLR2025, ICML2025, NeurIPS2025 Spotlight] Quantized Attention achieves speedup of 2-5x compared to FlashAttention, without losing end-to-end metrics across language, image, and video models.

Wan: Open and Advanced Large-Scale Video Generative Models

LeetGPU Solutions

Mirage Persistent Kernel: Compiling LLMs into a MegaKernel

Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels

Triton for OpenCL backend, and use mlir-translate to get source OpenCL code

The simplest, fastest repository for training/finetuning small-sized VLMs.

This repository contains the official implementation of "FastVLM: Efficient Vision Encoding for Vision Language Models" - CVPR 2025

Fork of the Triton language and compiler for Windows support and easy installation

compiler learning resources collect.

DeepEP: an efficient expert-parallel communication library

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations

collection of benchmarks to measure basic GPU capabilities

Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruction.

CUDA Matrix Multiplication Optimization

A Easy-to-understand TensorOp Matmul Tutorial