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rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

scalable-data-science-platform

Content for architecting a data science platform for products using Luigi, Spark & Flask.

scikit-learn

scikit-learn: machine learning in Python

scikit-optimize

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

scrapy

Scrapy, a fast high-level web crawling & scraping framework for Python.

sentiment-analysis-with-convolutional-networks

Convolutional Neural Network model for Sentiment Analysis of IMDB movie reviews

seq2seq

Sequence to Sequence Learning with Keras

seq2seq-1

A general-purpose encoder-decoder framework for Tensorflow

serve-ml-with-clipper

Notebook for blog post "Serve Machine Learning Models with Clipper"

siggraph2016_colorization

Code for the paper 'Let there be Color!: Joint End-to-end Learning of Global and Local Image Priors for Automatic Image Colorization with Simultaneous Classification'.

skflow

Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning

skip-thoughts

sklearnflask

Flask API for training and predicting using scikit learn models

sloth

Sloth is a tool for labeling image and video data for computer vision research.

sonar

Decentralized Machine Learning Server (hosted on Blockchain)

sonnet

TensorFlow-based neural network library

spaceshare

Platform for file sharing

spark-deep-learning

Deep Learning Pipelines for Apache Spark

spark-movie-lens

An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset

spark-sklearn

Scikit-learn integration package for Spark

spark-structured-streaming-ml

Structured Streaming Machine Learning example with Spark 2.0

spark-testing-base

Base classes to use when writing tests with Spark

spark-validator

A library you can include in your Spark job to validate the counters and perform operations on success. Goal is scala/java/python support.

sparkit-learn

PySpark + Scikit-learn = Sparkit-learn

sparklingpandas

Sparkling Pandas

sparknet

Distributed Neural Networks for Spark

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

speech_recognition

Speech recognition module for Python, supporting several engines and APIs, online and offline.

spyre

a web application framework for python

squeezenet

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters