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Apache Doris is an easy-to-use, high performance and unified analytics database.

A persistent, daemon-based multi-agent system that leverages opencode to automatically discover, plan, implement, and review code changes across a codebase.

Breakwater is a local on-call agent service. Its name comes from "breakwater": by leveraging large model capabilities and historical data, it blocks the majority of online issues at an early stage, allowing R&D to focus only on parts that require judgment.

卖课，卖课，还是tmd卖课！

A structured breakdown of how a Chinese developer built an impressive-looking GitHub identity through deliberate profile construction, packaged as a Claude Code skill for analysis and advisory use.

the CCPC rules proposal by unofficial group

补档 lofisu 的bro仓库，包括readme和issue备份

Apache Doris Website

No description.

fitlog是一款在深度学习训练中用于辅助用户记录日志和管理代码的工具

The open source coding agent.

An opencode plugin that exports telemetry via OpenTelemetry (OTLP/gRPC), mirroring the same signals as Claude Code's monitoring.

No description.

Runnable ClaudeCode source code

No description.

🚀 A very efficient Texas Holdem GTO solver :spades::hearts::clubs::diamonds:

Certbot is EFF's tool to obtain certs from Let's Encrypt and (optionally) auto-enable HTTPS on your server. It can also act as a client for any other CA that uses the ACME protocol.

Source repository for arm ecosystem dashboard that lists packages that work on Arm

Self-managed thirdparty dependencies for Apache Doris

The index for acmer group. Licensed under CC BY-NC-SA 4.0

the source code of linux-0.11 for study linux kernel

A C++20 header-only library that supports powerful reflection for C++

Customizable automatic UML diagram generator for C++ based on Clang.

C++ wrappers for SIMD intrinsics and parallelized, optimized mathematical functions (SSE, AVX, AVX512, NEON, SVE))

This repo includes ChatGPT prompt curation to use ChatGPT better.

apache/doris' doxygen documents with caller/callee maps

A CPU tool for benchmarking the peak of floating points

Docker runner for build-bench

mimalloc is a compact general purpose allocator with excellent performance.

Message passing based allocator

Fit interpretable models. Explain blackbox machine learning.

Material of ECF-2021 commemorative cultural shirt

高效率 QQ 机器人支持库

Keras implementations of Generative Adversarial Networks.

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

Keras community contributions

No description.

Implementation of One-Cycle Learning rate policy (adapted from Fast.ai lib)

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

Awesome Neural Logic and Causality: MLN, NLRL, NLM, etc. 因果推断，神经逻辑，强人工智能逻辑推理前沿领域。

Protected Low-overhead Object Oriented Programming with ANSI-C

No description.

modified from http://sourceforge.net/projects/lwoopc/

Tools for generating mini-ImageNet dataset and processing batches

No description.

The release codes of LA-MCTS with its application to Neural Architecture Search.

A toolkit for developing and comparing reinforcement learning algorithms.

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

Causal Discovery for Python. Translation and extension of the Tetrad Java code.

算法竞赛课件分享 - Program algorithm learning materials collection in Chinese

Latex code for making neural networks diagrams

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

Reinforcement learning tutorials

:star2: Wiki of OI / ICPC for everyone. （某大型游戏线上攻略，内含炫酷算术魔法）

结巴中文分词

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

《python数据分析与挖掘实战》的代码笔记

大数据/数据挖掘/推荐系统/机器学习相关资源

:book: [译] 利用 Python 进行数据分析 · 第 2 版

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Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

deep learning for image processing including classification and object-detection etc.

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）