jaimeide

pymarl

Python Multi-Agent Reinforcement Learning framework

causalml

Uplift modeling and causal inference with machine learning algorithms

python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

BayesianOptimization

A Python implementation of global optimization with gaussian processes.

neural-interaction-detection

Detecting Statistical Interactions from Neural Network Weights

Python-Adaptive-Signal-Processing-Handbook

Python adaptive signal processing tutorials

Vehicle-Detection-and-Tracking

Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Minimally-Processed-Image-Sharing

data-access-notebook

Jupyter Notebook that illustrates how to query, package, and download data from NIMH Data Archive