Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

summary of ML papers I've read

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

DyNet: The Dynamic Neural Network Toolkit

Efficient, reusable RNNs and LSTMs for torch

Simple job queues for Python

Redis-based components for Scrapy.

Html Content / Article Extractor, web scrapping lib in Python

Crawler of zhihu.com

A Neural Turing Machine implementation in Torch.

Document context language models

vim配置

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

Examples and scripts using Blocks

A Theano framework for building and training neural networks

Library for implementing RNNs with Theano

Dash repo of user contributed docsets

Stanford Unsupervised Feature Learning and Deep Learning Tutorial

Code samples for my book "Neural Networks and Deep Learning"

A Detailed Cplusplus Concurrency Tutorial 《C++ 并发编程指南》

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

Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.

Dexter is a framework that implements some popular algorithms and provides all the tools needed to develop any entity linking technique.

Deep Learning for humans

How to Make a Computer Operating System in C++

Exercises for my tutorials on Theano

Theano-based Alexnet

LeetCode Problems' Solutions