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30min_guides

覃健祥的学习笔记，各种几十分钟入门的文档

allennlp

An open-source NLP research library, built on PyTorch.

angel

A Flexible and Powerful Parameter Server for large-scale machine learning

awesome-deeplearning-resources

Deep Learning and deep reinforcement learning research papers and some codes

blocks

A Theano framework for building and training neural networks

cheatsheets

All the cheat sheets you need as a novice machine learning engineer

crawler-python

deep-cross-tensorflow

deeplearningtutorials

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

deepwalk

DeepWalk - Deep Learning for Graphs

dropout

A theano implementation of Hinton's dropout.

ecosystem

Integration of TensorFlow with other open-source frameworks

em4gmm

Fast clustering Expectation Maximization algorithm for Gaussian Mixture Models.

faiss

A library for efficient similarity search and clustering of dense vectors.

fastai

The fastai deep learning library, plus lessons and and tutorials

fasttext

Library for fast text representation and classification.

gensim

Topic Modelling for Humans

glove

GloVe model for distributed word representation

googlesearchcrawler

a tool for crawl Google search results

hosts

:statue_of_liberty:最新可用的google hosts文件。镜像：

jforests

Automatically exported from code.google.com/p/jforests

kaggle-2014-criteo

learn

learning log

leetcode

LeetCode Problems' Solutions

lucene-solr

Mirror of Apache Lucene + Solr

machinelearningtrick

Machine Learning Trick : GBDT_Feature Blending Stacking CascadeForest

multiverso

Parameter server framework for distributed machine learning

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.