My notes from the classes I've taken at UCLA

Lectures for INFO8006 Introduction to Artificial Intelligence, ULiège

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

👔 💼 Build fast 🚀 and easy multiple beautiful resumes and create your best CV ever! Made with Vue and LESS.

Semantic Image Synthesis with SPADE

Data Science Tutorials

Free Resources For Data Science created by Shubham Kumar

Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).

The most interesting and fun machine learning links!

🔗 Some useful websites for programmers.

✅ Curated list of resources for college students

Coursera Machine Learning By Prof. Andrew Ng

VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers

VIP cheatsheets for Stanford's CS 229 Machine Learning

Applied Machine Learning projects from my site: http://www.appliedprogramming.net/machine-learning/home.html

Repository for cool algorithms and Datastructures

Notebooks and code for the book "Introduction to Machine Learning with Python"

Machine Learning with JavaScript. Fast and Simple. 🚀

Materialize, a CSS Framework based on Material Design

Crack hashes in seconds.

CP4 Free Source Code Project (C++17, Java11, Python3 and OCaml)

Official Website for the Annual Hackathon organized by AppTeam NITH