A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a billion rows per second 🚀
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Use Fourier transform to learn operators in differential equations.
Solutions of Reinforcement Learning, An Introduction
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
List of awesome resources for machine learning-based algorithmic trading
A Common Lisp kernel for Jupyter along with a library for building Jupyter kernels.
🔬 Machine learning strategies and useful tools use in financial market.
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
