Example Test Cases for Stanford's Algorithms Coursera Specialization

The Rust Programming Language: Experimental Edition

DL course co-developed by YSDA, HSE and Skoltech

David Mackay's book review and problem solvings and own python codes, mathematica files

GoogleTest - Google Testing and Mocking Framework

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

A course in reinforcement learning in the wild

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

Chapter work from Bjarne Stroustrup's Programming Principles and Practice text

Exercises && Drills from Programming Principles and Practice using C++ by Bjarne Stroustrup (2nd Edition)

Storage for exercises & drills from Programming: Principles & Practice using C++ by Bjarne Stroustrup (2nd Edition)

Notebooks for "Python for Signal Processing" book

Solutions to Friedland's Control System Design: An Introduction to State Space Methods

Probably the best curated list of data science software in Python.

📝 An awesome Data Science repository to learn and apply for real world problems.

A starter agent that can solve a number of universe environments.

Tools for accelerating safe exploration research.

Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

Build tools for the Sagemath Windows installer

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

PreTeXt: an authoring and publishing system for scholarly documents

"A First Course in Linear Algebra" open source textbook

Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Convolutional Neural Networks

CenterNet (Objects as Points) implementation in Keras and Tensorflow

Custom Loss Functions in Keras

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"