Stars
DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling
DeepEP: an efficient expert-parallel communication library
A high-performance distributed file system designed to address the challenges of AI training and inference workloads.
A high-performance LLM inference API and Chat UI that integrates DeepSeek R1's CoT reasoning traces with Anthropic Claude models.
'Classic' FreeRTOS distribution. Started as Git clone of FreeRTOS SourceForge SVN repo. Submodules the kernel.
🤖 The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transf…
High-quality multi-lingual text-to-speech library by MyShell.ai. Support English, Spanish, French, Chinese, Japanese and Korean.
《剑指Offer：名企面试官精讲典型编程面试题》第二版源代码
A complete computer science study plan to become a software engineer.
The official Python SDK for Model Context Protocol servers and clients
📚 Freely available programming books
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
macOS development environment setup: Easy-to-understand instructions with automated setup scripts for developer tools like Vim, Sublime Text, Bash, iTerm, Python data analysis, Spark, Hadoop MapRed…
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
GoogleTest - Google Testing and Mocking Framework
Sentry SDK for C, C++ and native applications.
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
An open-source C++ library developed and used at Facebook.
oneAPI Threading Building Blocks (oneTBB)
Ember.js - A JavaScript framework for creating ambitious web applications
The official GitHub mirror of the Chromium source
An annotated implementation of the Transformer paper.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.