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arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

awesome

A curated list of awesome lists

binaryconnect

Training Deep Neural Networks with binary weights during propagations

binarynet

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

coursera-r-programming

Notes from the R programming Coursera course

daft

Render some probabilistic graphical models using matplotlib

data-scientist-toolbox

datasciencecoursera

datasharing

The Leek group guide to data sharing

deeplearningsourceseparation

Deep Recurrent Neural Networks for Source Separation

deeplearningtutorials

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

edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

elen4810_fall_2015

The course project for ELEN4810 in 2015 Fall semester, Columbia University.

elen6886_fall_2015

emacs.d

purcell's emacs configuration plus C/C++ support

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

exploratory-data-analysis

Coursera Exploratory Data Analysis Project

fast-wavenet

Efficient implementation of Wavenet generation.

free-programming-books

Free Learning Resources In Chinese

gc3

getting-and-cleaning-data-course-project

Getting and Cleaning Data Course Project

gettingandcleaningdata

gull

gumbel-softmax

categorical variational autoencoder using the Gumbel-Softmax estimator

howtobeaprogrammer

A guide on how to be a Programmer - originally published by Robert L Read

irl-imitation

Implementations of model-based Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

labstreaminglayer

Multi-modal time-synched data transmission over local network

lasagne

Lightweight library to build and train neural networks in Theano

learn-git-in-30-days

這是 Will 保哥在 2013 第 6 屆 iT 邦幫忙鐵人賽年度大獎的得獎著作【30 天精通 Git 版本控管】，歡迎大家 fork 我，如果有看見任何文字勘誤，也歡迎利用 pull request 來通知我修正，謝謝！