TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Google Research

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

The Udacity open source self-driving car project

A scikit-learn compatible neural network library that wraps PyTorch

Simple tutorials using Google's TensorFlow Framework

Bayesian optimization in PyTorch

Structured state space sequence models

Handout for the tutorial "Creating publication-quality figures with matplotlib"

A toolkit for controlling Euro Truck Simulator 2 with the end-to-end driving model

Python implementation of CMA-ES

Some Python Implementations of the Kalman Filter

Code for our paper "Hamiltonian Neural Networks"

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Short Course - Applied Machine Learning for Risk Management

This repository contains the Tutorials for the NPTEL MOOC on Machine Learning.

Understanding ML and deep learning through geometry

Learning Lyapunov functions and control policies of nonlinear dynamical systems

Performant, differentiable reinforcement learning

Pytorch-based python library for continuous reinforcement learning and imitation learning [superseded by @osudrl/apex]

Introduction to Programming with Python (and basic Open Source Software Development principles)