A GUI client for Windows, Linux and macOS, support Xray and sing-box and others

Examples and guides for using the OpenAI API

The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.

A toolkit for developing and comparing reinforcement learning algorithms.

30 Day Vanilla JS Challenge

图解计算机网络、操作系统、计算机组成、数据库，共 1000 张图 + 50 万字，破除晦涩难懂的计算机基础知识，让天下没有难懂的八股文！🚀 在线阅读：https://xiaolincoding.com

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

this repository accompanies the book "Grokking Deep Learning"

Collection of notebooks about quantitative finance, with interactive python code.

存放JAVA开发的设计思想、算法：《剑指Offer》、《编程珠玑》、《深入理解Java虚拟机：JVM高级特性与最佳实践》、《重构-改善既有代码的设计 中文版》、《clean_code(中文完整版)》、《Java编程思想(第4版)》、《Java核心技术 卷I (第8版)》、《Quartz_Job+Scheduling_Framework》；一些大的上传不上来的文件在README

🎓 List of Udacity Nanodegree programs with links to the free courses in their curricula

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2026 without ANY background in the field and stay up-to-date with the latest news and state-of-the-ar…

OpenAI Api Client in Java

[Skype Silk Codec SDK]Decode silk v3 audio files (like wechat amr, aud files, qq slk files) and convert to other format (like mp3). Batch conversion support.

2021年最新总结 500个常用数据结构，算法，算法导论，面试常用，大厂高级工程师整理总结

Xunzhuo`s Tutorials of Algorithm and Data Structure 🚀🚀🚀

Declarative User Interfaces for Python

120+ Common code and interview problems solved in Python **(it's GROWING...)** Give a Star 🌟If it helps you. Please go through the README.md before starting.

Quant prep resources/logs

A small but powerfull app for viewing MBOX files

Code for testing various M1 Chip benchmarks with TensorFlow.

Memory efficient Python objects

Qt for webOS

hiddify next节点订阅，hiddify next免费节点分享

This is the most complete JavaScript course. It's an all-in-one package that will take you from the very fundamentals of JavaScript, all the way to building modern and complex applications.

VIP cheatsheets for Stanford's CS 229 Machine Learning

Collection of notebooks about quantitative finance, with interactive python code.

A collection of algorithms and data structures