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keras-fractalnet

FractalNet implementation in Keras: Ultra-Deep Neural Networks without Residuals

keras-gan

Generative Adversarial Networks with Keras

keras-gcn

Keras implementation of Graph Convolutional Networks

keras-grad-cam

An implementation of Grad-CAM with keras

keras-hello-world

keras-inceptionv4

Keras implementation of Google's inception v4 model

keras-js

Run trained Keras models in the browser, with GPU support

keras-language-modeling

Some language modeling tools for Keras

keras-mnist-tutorial

For a mini tutorial at U of T, a tutorial on MNIST classification in Keras.

keras-model-zoo

Keras Model Zoo

keras-molecules

Autoencoder network for learning a continuous representation of molecular structures.

keras-pointer-network

Implementation of Pointer Network in Keras. [Incomplete]

keras-prednet

keras-rcnn

Recurrent Convolutional Neural Networks in Keras

keras-resnet

Residual networks implementation using Keras-1.0 functional API

keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

keras-rl

Deep Reinforcement Learning for Keras.

keras-rtst

"Real-Time Style Transfer" with Keras

keras-sequential-ascii

ASCII summary for simple sequential models in Keras

keras-squeezenet

SqueezeNet implementation with Keras Framework

keras-text-classification

nlpshit

keras-toolbox

Your every day Keras toolbox.

keras-transfer-learning-for-oxford102

Keras pretrained models (VGG16) + Transfer Learning for predicting classes in the Oxford 102 flower dataset

keras-tutorials

Simple tutorials using Keras Framework

keras-vgg-buddy

A real pal when you want to add VGG16 to your Keras model.

keras-vis

Neural network visualization toolkit in keras

keras-visual-semantic-embedding

Mostly for using the trained weights from https://github.com/ryankiros/visual-semantic-embedding in Keras

keras-visualize-activations

MNIST example to show how to get the activations for each layer in Keras.

keras-wavenet

Keras implementation of deepmind's wavenet paper

kerascoherencedoc2vec

This module uses gensim for word embeddings and on-top an RNN+conv like structures in order to carry out a doc2vec