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Example Test Cases for Stanford's Algorithms Coursera Specialization
cognitive-engineering-lab / rust-book
Forked from rust-lang/bookThe 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
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"