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adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

awesome-gans

Awesome Generative Adversarial Networks with tensorflow

bpl

Bayesian Program Learning model for one-shot learning

breastcancer_classification

Machine learning classifier for cancer tissues

breastcancerneuralnetwork

Implementation of a Neural Network in .NET using the Diagnostic Wisconsin Breast Cancer Database.

cancer-deep-learning-model

TensorFlow Deep Learning neural network model for University of Wisconsin Cancer data

cifar-10-cnn

Play deep learning with CIFAR datasets

conditional-gans

The test code for Conditional convolutional adversarial networks.

dcgan

A Tensorflow Implementation of "Deep Convolutional Generative Adversarial Networks" - (EASY to READ)

dcgan-cifar10

A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image

dcgan_code

Deep Convolutional Generative Adversarial Networks

deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

deep-learning-from-scratch

『ゼロから作る Deep Learning』のリポジトリ

deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

deeplearning-tensorflow-keras

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

digit-classifier

A single handwritten digit classifier, using the MNIST dataset. Pure Numpy.

dqn-chainer

dvn

Reference implementation for Structured Prediction with Deep Value Networks

extremely-simple-one-shot-learning

Extremely simple one-shot learning in Python

fundamentals-of-deep-learning-book

Code companion to the O'Reilly "Fundamentals of Deep Learning" book

fundamentals-of-deep-learning-ja

『実践 Deep Learning』のリポジトリ

gan-mnist

Generative Adversarial Network for MNIST with tensorflow

ganhacks

starter from "How to Train a GAN?" at NIPS2016

imageqa-san

code for Stacked attention networks for image question answering

introduction_to_ml_with_python

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

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

keras-contrib

Keras community contributions

keras-gan

Keras implementations of Generative Adversarial Networks.

keras-oneshot

koch et al, Siamese Networks for one-shot learning, (mostly) reimplimented in keras