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A curated list of practical financial machine learning tools and applications.
Writing an OS in 1,000 lines.
Kura is a simple reproduction of the CLIO paper which uses language models to label user behaviour before clustering them based on embeddings recursively. This helps us understand user behaviour on…
Stay on top of trending topics on social media and the web with AI
A JavaScript / TypeScript / Python / C# / PHP / Go cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges
A C++ framework for programming real-time applications
A ranked list of algorithmic trading open-source libraries, frameworks, bots, tools, books, communities, education materials. Updated weekly.
This comprehensive, hands-on course provides a thorough exploration into the world of algorithmic trading, aimed at students, professionals, and enthusiasts with a basic understanding of Python pro…
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
A dashboard to visualize cryptocurrency implied volatility surfaces constructed with option data from Binance.
A multi-factor equity risk model for quantitative trading.
Python toolkit for quantitative finance
This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
DevOps Guide - Development to Production all configurations with basic notes to debug efficiently.
🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
FinHack®，一个易于拓展的量化金融框架，它在当前版本中集成了数据采集、因子计算、因子挖掘、因子分析、机器学习、策略编写、量化回测、实盘接入等全流程的量化投研工作。
Set up your own OpenVPN server on Debian, Ubuntu, Fedora, CentOS, Arch Linux and more
Easy to use Python library of customized functions for cleaning and analyzing data.
推荐系统入门指南，全面介绍了工业级推荐系统的理论知识（王树森推荐系统公开课-基于小红书的场景讲解工业界真实的推荐系统），如何基于TensorFlow2训练模型，如何实现高性能、高并发、高可用的Golang推理微服务。Comprehensively introduced the theory of industrial recommender system, how to trainning …
A 4-hour coding workshop to understand how LLMs are implemented and used
A curated list of awesome things related to learning Zero-Knowledge Proofs (ZKP).
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
Cashu protocol specifications https://cashubtc.github.io/nuts/