Deep Residual Learning for Image Recognition

A curated list of awesome places to learn and/or practice algorithms.

An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!

A curated list of deep learning resources for computer vision

The most cited deep learning papers

Bare bones Python implementations of various Machine Learning models and algorithms.

Vehicle Tracking and Detection Project Submitted for Udacity's CND using Traditional Computer Vision and Machine Learning Techniques.

The Open Source Data Science Masters

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

MIT Deep Learning Book in PDF format

Makes debugging suck less

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Mycroft Core, the Mycroft Artificial Intelligence platform.

Unicorn CPU emulator engine

A little bit about a linux kernel

Multi-Architecture GDB Enhanced Features for Exploiters & Reverse-Engineers

📚 List of awesome university courses for learning Computer Science!

some books

This project demonstrates how to access and test the Alexa Voice Service using a Java client (running on a Raspberry Pi), and a Node.js server.

Turn a Raspberry Pi into an Alexa Client

SDK and example code for building voice-enabled skills for the Amazon Echo.

A collection of some implementations of data structures and algorithms.

📚 Freely available programming books

SDK for connecting to AWS IoT from a device using Python.