All Algorithms implemented in Python
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All Algorithms implemented in Python
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Free, open source crypto trading bot
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
TranslatedAn open-source quantitative trading platform development framework based on Python
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
"Vibe-Trading: Your Personal Trading Agent"
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
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.
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Python sample codes and textbook for robotics algorithms.
Set up a personal VPN in the cloud
Minimal examples of data structures and algorithms in Python
Translated50 code implementations of data structures and algorithms that you must know
Best Practices on Recommendation Systems
Open source software that helps you create and deploy high-frequency crypto trading bots
Zipline, a Pythonic Algorithmic Trading Library
Turns Data and AI algorithms into production-ready web applications in no time.
TranslatedAbu Quantitative Trading System (stocks, options, futures, Bitcoin, machine learning) An open-source quantitative trading and quantitative investment architecture based on Python
Network Analysis in Python
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
SciPy library main repository
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
TranslatedHand-written implementations of all the algorithms in Li Hang's book "Statistical Learning Methods" (《统计学习方法》)