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rneo4j

Interact with a Neo4j database in R.

sacred

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

sagemaker-distributed-training-workshop

Hands-on workshop for distributed training and hosting on SageMaker

scikit-learn-videos

IPython notebooks from the scikit-learn video series

scikit-plot

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

semisup-learn

Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data

sentiment-discovery

Unsupervised Language Modeling at scale for robust sentiment classification

seq2seqtest

testing sequence to sequence models

shake-shake

2.72% on CIFAR-10

spark-csv

CSV data source for Spark SQL and DataFrames

sparsemax.torch

Implementation attempt of "From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification"

spearmint

Spearmint Bayesian optimization codebase

sra-tools

SRA Tools

stack

A presentation library with intuitive, scroll-based navigation.

stat212b

Topics Course on Deep Learning

stochastic_depth

Code for "Deep Networks with Stochastic Depth"

summerschool2015

Slides and exercises for the Deep Learning Summer School 2015 programming tutorials

sunburst-chart

A sunburst chart for viewing taxonomic data.

swc-git-intermediate

Intermediate Git Lesson

symbolic_rxn

Integrating Deep Neural Networks and Symbolic Inference for Organic Reactivity Prediction

t-sne-tutorial

A tutorial on the t-SNE learning algorithm

ta-fcn

Translation-aware Fully Convolutional Instance Segmentation

targetfinder

tcn

Sequence modeling benchmarks and temporal convolutional networks

tensorbox

tensorflow

Open source software library for numerical computation using data flow graphs.

tensorflow-deepq

A deep Q learning demonstration using Google Tensorflow

tensorflow-resnet

ResNet model in TensorFlow

tensorflow-vae-gans

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN) and Variational Autoencoder (VAE)).

tensorflowdeepautoencoder

MNIST Digit Classification Using Stacked Autoencoder And TensorFlow