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abagail

The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artificial intelligence algorithms implemented for the kind of people that like to implement algorithms themselves.

aima-data

Data files to accompany the algorithms from Norvig And Russell's "Artificial Intelligence - A Modern Approach"

aima-pseudocode

Pseudocode descriptions of the algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

aima-python

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

algorithm_specialisation

Implementation of problems related to the Coursera Algorithms and Data Structures Specialisation

applied-reinforcement-learning

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-rl

Reinforcement learning resources curated

basic_reinforcement_learning

An introduction series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

cfdpython

A sequence of IPython notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

coursera-dsa

Coursera: Data Structures and Algorithms Specialization

courses

fast.ai Courses

cs-7641-machine-learning

GATech OMSCS Machine Learning Course -- notes and assignments

cs7646

datasciencecoursera

Repo for Johns Hopkins Data Science courses on Coursera

datasharing

The Leek group guide to data sharing

deep-rl

Collection of Deep Reinforcement Learning algorithms

deeplearningbook

MIT Deep Learning Book in PDF format

dissecting-reinforcement-learning

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

dive-into-machine-learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn

flight

Flight code for MIT CSAIL Robot Locomotion Group flying-through-forests project

free-programming-books

:books: Freely available programming books

go

The Open Source Data Science Masters

google-interview-university

A complete daily plan for studying to become a Google software engineer.

gym-walk

handson-ml

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

heapsentry

how2heap

A repository for learning various heap exploitation techniques.

how_to_do_math_for_deep_learning

This is the code for "How to Do Math Easily - Intro to Deep Learning #4' by Siraj Raval on YouTube