Popular GitHub Repositories for Teaching Materials

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

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

An 11-Lesson course teaching everything you need to know about harnessing GitHub Copilot as an AI Paired Programming resource.

A course in reinforcement learning in the wild

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

All course materials for the Zero to Mastery Machine Learning and Data Science course.

Open Machine Learning course

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

All notes and materials for the CS229: Machine Learning course by Stanford University

Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".

A deep learning package for many-body potential energy representation and molecular dynamics

A curated list of Knowledge Graph related learning materials, databases, tools and other resources

A selection of state-of-the-art research materials on trajectory prediction

ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/