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android-universalmusicplayer icon android-universalmusicplayer

This sample shows how to implement an audio media app that works across multiple form factors and provide a consistent user experience on Android phones, tablets, Auto, Wear and Cast devices

bidmach icon bidmach

CPU and GPU-accelerated Machine Learning Library

bidmat icon bidmat

A CPU and GPU-accelerated matrix library for data mining

bidparse icon bidparse

GPU-accelerated natural language parser

chinese-poetry icon chinese-poetry

最全中华古诗数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗.

cxxnet icon cxxnet

fast, concise, distributed deep learning framework

deepnet icon deepnet

Implementation of some deep learning algorithms.

devtools icon devtools

Tools to make an R developer's life easier

gocnn icon gocnn

using CNN to do move prediction and board evaluation for the board game Go

gpuimage icon gpuimage

An open source iOS framework for GPU-based image and video processing

graphlab icon graphlab

A framework for large-scale machine learning and graph computation.

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

h2o-3 icon h2o-3

Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, GBM, GLM, etc.)

html5-boilerplate icon html5-boilerplate

A professional front-end template for building fast, robust, and adaptable web apps or sites.

http-api-design icon http-api-design

HTTP API design guide extracted from work on the Heroku Platform API

iclr15 icon iclr15

Sentiment analysis with Ensemble

iris_web_app icon iris_web_app

Sinatra Web Application (Ruby) that accesses R via RServe to create plots of the Iris Dataset

kraken-js icon kraken-js

An express-based Node.js web application bootstrapping module.

minerva icon minerva

Minerva: a fast and flexible tool for deep learning. It provides ndarray programming interface, just like Numpy. Python bindings and C++ bindings are both available. The resulting code can be run on CPU or GPU. Multi-GPU support is very easy. Please refer to the examples to see how multi-GPU setting is used.

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