Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

dcgan-tensorflow

A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.

deeplearningimplementations

Implementation of recent Deep Learning papers

deeplearningtutorials

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

dmsmsgrcg

A photo OCR project aims to output DMS messages contained in sign structure images.

generative-adversarial-networks

Tutorial on GANs

hyperas

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

ideepa

Attention-based CNN for predicting RBP binding sites

keras

Deep Learning for humans

keras-adversarial

Keras Generative Adversarial Networks

keras-dcgan

Keras implementation of Deep Convolutional Generative Adversarial Networks

keras-gan

Keras implementations of Generative Adversarial Networks.

keras_gpyopt

Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.

latentspacevisualization

Visualization techniques for the latent space of a convolutional autoencoder in Keras

ocropy

Python-based tools for document analysis and OCR

papers

:paperclip: Summaries of papers on deep learning

really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

seqgan

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

spearmint

Spearmint Bayesian optimization codebase

ssgan-tensorflow

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks.

wasserstein-gan-keras

Keras implementation of Wasserstein GAN. Modified from the ACGAN example.

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