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pytorch-generative-adversarial-networks

A very simple generative adversarial network (GAN) in PyTorch

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

reinforcement_learning_blog

This code is written for the blogs

retain

RETAIN: Interpretable Predictive Model in Healthcare using Reverse Time Attention Mechanism

rna-protein

rna-seq-diff-exprn

RNA-Sequencing data differential expression analysis pipeline. Performs: genome coverage (via bedtools and HTSeq), generates Circos code and plots, differential expression (via DESeq and NOISeq), structural variant detection (e.g. fusion genes, via SVDetect) and differential exon usage (via DEXSeq).

rnnloc

scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

scikit-plot

An intuitive library to add plotting functionality to scikit-learn objects.

sequence_gan

Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).

seya

Bringing up some extra Cosmo to Keras.

sigopt-examples

Optimization Examples with SigOpt

simulated-unsupervised-tensorflow

TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training"

skflow

Simplified interface for TensorFlow (mimicking Scikit Learn)

smile

Statistical Machine Intelligence & Learning Engine

smilecnn

Smile detection with a deep convolutional neural net, with Keras.

sparkit-learn

PySpark + Scikit-learn = Sparkit-learn

spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

spearmint-1

Spearmint Bayesian optimization codebase

speech-language-processing

A curated list of speech and natural language processing resources

stamp

STAMP is a tool for characterizing similarities between transcription factor binding motifs.

stmp

stochastic_depth_keras

Rewriting code for "Deep Networks with Stochastic Depth" http://arxiv.org/abs/1603.09382 in keras

sunny-side-up

Sentiment Analysis Challenge

targetfinder

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-book

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

tensorflow-examples

Simple TensorFlow tutorials and code examples

tensorflow-mil

TF Implementation of Multiple Instance Learning FCN.

tensorflow-tutorials

Simple tutorials using Google's TensorFlow Framework