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Selection of resources to learn Artificial Intelligence / Machine Learning / Statistical Inference / Deep Learning / Reinforcement Learning
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
A curated list of deep learning resources for computer vision
Reinforcement learning resources curated
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Warehouse for running small experiments and sharing them with the group
book
Intro to Artificial Intelligence (Don't steal my code bro!)
Microsoft Cognitive Toolkit (CNTK)
Code for Stanford CS224D: deep learning for natural language understanding
Public facing notes page
CSE 331: Software Design and Implementation (taught by Michael Ernst)
Some deep learning models and experiments built with Theano.
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
A list of deep neural network architectures for reinforcement learning tasks.
Code for Deep Learning class at Google
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
A single handwritten digit classifier, using the MNIST dataset. Implemented through Artificial Neural Networks in Python.
Tutorials for deep learning
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
A simple Gridworld environment for Open AI gym
Reproduction of some of the results from 'Identity Mappings in Deep Residual Networks'
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.