Reference implementation and examples of the CuTe Layout representation and algebra.

nvloom is a set of tools designed to scalably test MNNVL fabrics.

DeepSeek 4 Flash local inference engine for Metal

A public tool to estimate GPU, VRAM, RAM, disk, and system requirements for running or training LLMs locally.

Bridge local AI coding agents (Claude Code, Cursor, Gemini CLI, Codex) to messaging platforms (Feishu/Lark, DingTalk, Slack, Telegram, Discord, LINE, WeChat Work). Chat with your AI dev assistant f…

Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflo…

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

OpenCamp 训练营通用学习工具

支持大麦网，淘票票、缤玩岛等多个平台，演唱会演出抢票脚本

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

Efficient Inference of Transformer models

The code of "Infrared and visible image fusion via detail preserving adversarial learning"

Compiler Infrastructure for Neural Networks

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

Documentations for PaddlePaddle

一个推理库的实现, A DIY deep learning inference framework.

KuiperInfer对应课程

Machine learning compiler based on MLIR for Sophgo TPU.

中文版的 MIT xv6 文档

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, in…

深度学习 李宏毅 2021 学习笔记

PyTorch Tutorial for Deep Learning Researchers

我的自学笔记，终身更新，当前专注System基础、MLSys。

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

A PyTorch implementation of the Transformer model in "Attention is All You Need".

Summarization Papers

Pre-processing and in some cases downloading of datasets for the paper "Content Selection in Deep Learning Models of Summarization."

notes about machine learning