Translated:octocat: Share interesting, entry-level open source projects on GitHub.
Repository Index
47,133 repositories indexed
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Curated list of design and UI resources from stock photos, web templates, CSS frameworks, UI libraries, tools and much more
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
TranslatedList of personally collected books PDF download Baidu Cloud e-book download
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
- csharp
- java
- javascript
- mcp
TranslatedSome interesting examples of python crawlers that are friendly to beginners. Mainly crawls websites such as 淘宝 (Taobao, "searching for treasure"), 天猫 (Tmall, "sky cat"), 微信 (WeChat, "micro message"), 微信读书 (WeChat Reading), 豆瓣 (Douban, "bean petal"), and QQ.
:city_sunrise: A collection of links for free stock photography, video and Illustration websites
- stock-photos
- free-photos
- icon-font
- stock-photography
Learn Blockchain, Solidity, and Full Stack Web3 Development with Javascript
- blockchain
- chainlink
- ethereum
- javascript
:octocat: Improve your README.md profile with these amazing badges.
Translated✍🏻 Source Code Deep Dives, System Design & Engineering Blogs | Halfrost-Field (冰霜之地, "Land of Frost"): notes on source code analysis, system design, and engineering practice
- ios
- objective-c
- swift
- javascript
Translated:octocat: Vue.js source code analysis
Stock options, RSUs, taxes — read the latest edition: www.holloway.com/ec
Translated:octocat:The most comprehensive repository of front-end resources on GitHub (including front-end learning, development resources, job interviews, etc.)
A curated list of practical financial machine learning tools and applications.
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
₿ A guide (for humans!) to cryto-currencies and their algos.
Quant/Algorithm trading resources with an emphasis on Machine Learning
A curated list of amazingly awesome free (stock) photo resources inspired by all the other awesomes.
:octocat: A a curated list of curated lists of awesome lists.
Here we collect and discuss the best DeFI & Blockchain researches and tools. Feel free to DM me on Twitter or open pool request.
Curated reverse-engineering tools and learning resources for binaries, apps, firmware, formats, and protocols.
- awesome-list
- binary-analysis
- ghidra
- malware-analysis
:octocat: A curated awesome list of flake8 extensions. Feel free to contribute! :mortar_board:
- awesome
- flake8
- flake8-extensions
- collections
Don't reverse engineer it twice. 17,000+ open-source tools built by reverse engineering closed apps, APIs, devices, protocols, file formats, games and AI tools. Search site + agent skill + MCP server, refreshed nightly.
Awesome Reverse Engineering Anything: tools, projects, case studies and research papers for websites, games, apps, binaries, firmware and communication protocols.