Library for fast text representation and classification.

Models built with TensorFlow

A library for generalized sequence to sequence models

A toolkit for developing and comparing reinforcement learning algorithms.

My notes on good papers

Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)

🌍 Search Interactive Mind Maps to learn anything

A curated list of awesome Deep Learning tutorials, projects and communities.

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

🌎 machine learning algorithms tutorials (mainly in Python3)

15 working examples to get you started with Deep Learning without learning any of the math.

Facebook AI Research Sequence-to-Sequence Toolkit

Summaries and notes on Deep Learning research papers

Essential Cheat Sheets for deep learning and machine learning researchers

Building a scalable foundation for deep learning

PyTorch implementation of the CortexNet predictive model

The most cited deep learning papers

A collection of openFrameworks apps for working with machine learning

AIND Term 2 -- CNN Project

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully.

pix2code: Generating Code from a Graphical User Interface Screenshot

The source code of 'Visual Attribute Transfer through Deep Image Analogy'.

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

Implementations of CNNs, RNNs, GANs, etc

Sample applications built using AWS' Amazon Machine Learning.

A list of papers on General Adversarial (Neural) Networks

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.