Stars
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
A browser extension for automating your browser by connecting blocks
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
Free, simple, fast interactive diagrams for any GitHub repository
面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版
A General-purpose Task-parallel Programming System using Modern C++
《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
Classic papers and resources on recommendation
JuiceFS is a distributed POSIX file system built on top of Redis and S3.
A light weight, super fast, large scale machine learning library on spark .
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Tinyhttpd 是J. David Blackstone在1999年写的一个不到 500 行的超轻量型 Http Server，用来学习非常不错，可以帮助我们真正理解服务器程序的本质。官网:http://tinyhttpd.sourceforge.net
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date …
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
Using Keras to implement recommender systems
Kanban 看板 is a Trello clone in Rails and Backbone.js
What-happens-when 的中文翻译，原仓库 https://github.com/alex/what-happens-when
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning al…
A Flexible and Powerful Parameter Server for large-scale machine learning
Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.
Freeze (package) Python programs into stand-alone executables
Apache Kafka client for Python; high-level & low-level consumer/producer, with great performance.