The AI Code Editor

Bayesian Analysis with Python by Packt

A collection of datasets of ML problem solving

All Algorithms implemented in Python

A bunch of Python scripts I often use

Intro to DSGE models using Python and Dynare

Tools for The Book of Statistical Proofs

Jupyter Notebooks for https://datascience.quantecon.org

A Repository of Notebooks for the Python Lecture Site

Notebooks for https://python.quantecon.org

A Repository of Notebooks for the Python Lecture Site

Notebooks for https://python.quantecon.org

A collection of code to perform analysis and predictions on financial data.

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning libr…

A profitable cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Open-source Javascript Pivot Table (aka Pivot Grid, Pivot Chart, Cross-Tab) implementation with drag'n'drop.