Stars
Simple, unified interface to multiple Generative AI providers
Code for the Book Causal Inference in Python
Modelling and machine learning: the foundations of data science
Briefly, these are scripts I've used historically to access data from the Bureau of Labor Statistics. They are updated to Python 3, and the purpose is to load data into a MySQL database for further…
An implementation of the Temporal Group LASSO in C (with R bindings)
Exercises for the book Artificial Intelligence: A Modern Approach
Packages for Rats (Estima) syntax highlighting in Atom and Sublime Text
Explore, analyse and visualise Betfair Historical Data Feed using PySpark.
Workbook to interpret historical data purchased from Betfair by offering a means for download, display and analysis with Excel.
Here I am collecting the scripts I have used to prepare my book "Adventures in Financial Data Science" and to support my other writing, such as that on Medium. Those for the book are mostly origina…
💰 An unofficial API to programatically access your Hargreaves Lansdown account.
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
Machine Learning in Asset Management (by @firmai)
Code and examples from Business Data Science
Download market data from Yahoo! Finance's API
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Scikit-learn style cross-validation classes for time series data
Technical Analysis Library using Pandas and Numpy
Tutorial material on the scientific Python ecosystem
Introduction to Parallel Programming class code
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Deep Q-Learning Network in pytorch (not actively maintained)
Unfinished. Deep Q Learning in Tensorflow for ATARI.
Lua/Torch implementation of DQN (Nature, 2015)