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21 Lessons, Get Started Building with Generative AI
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Python Data Science Handbook: full text in Jupyter Notebooks
12 Lessons to Get Started Building AI Agents
12 Weeks, 24 Lessons, AI for All!
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
Code for Machine Learning for Algorithmic Trading, 2nd edition.
llama3 implementation one matrix multiplication at a time
FinRL®: Financial Reinforcement Learning. 🔥
Python training for business analysts and traders
Python toolkit for quantitative finance
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
Collection of notebooks about quantitative finance, with interactive python code.
Machine Learning in Finance: From Theory to Practice Book
Machine Learning Journal for Intermediate to Advanced Topics.
Python interactive dashboards for learning data science
Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.
Hands-On Machine Learning for Algorithmic Trading, published by Packt
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SP…
Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻🦸🏽
This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.
Python for Algorithmic Trading Cookbook, published by Packt
Jupyter Notebooks and code for the book Python for Algorithmic Trading (O'Reilly) by Yves Hilpisch.
An libary to price financial options written in Python. Includes: Black Scholes, Black 76, Implied Volatility, American, European, Asian, Spread Options
Python Algorithmic Trading Cookbook, published by Packt
Notebooks that replicate original quantitative finance papers from Emanuel Derman
Learn quantitative finance with this comprehensive lecture series. Adapted from the Quantopian Lecture Series. Uses free sample data.
Recreate EP Chan algo trading book strategies