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compiladores

cuda-convnet

Fork of Alex Krizhevsky's cuda-convnet 1. Adds dropout.

deep-learning-with-pytorch

Deep Learning with PyTorch, published by Packt

deepdream

doc2vec

Original doc2vec implementation by Tomas Mikolov

ebooks

ebooks-1

ember

faas

OpenFaaS - Serverless Functions Made Simple

funnlp

中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌&零件词库、时间抽取、连续英文切割、中文词向量大全、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、历史名人词库、诗词词库、医学词库、饮食词库、法律词库、汽车词库、动物词库、中文聊天语料。

gopl-pdf

The Go Programming Language.pdf (all errata fixed, with bookmarks)

groundhog

Library for implementing RNNs with Theano

hosts

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

hosts-1

 :bell: 【06月05日更新】google/Gmail/Dropbox hosts文件，镜像地址：

kcws

Deep Learning Chinese Word Segment

lda_py

a very simple implementation

leela-zero

Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.

mltest

Testing framework to simplify writing ML unit tests.

nmt

TensorFlow Neural Machine Translation Tutorial

phantomjs-1

Scriptable Headless WebKit

pythondocument

translate python documents to Chinese for convenient reference 简而言之，这里用来存放那些Python文档君们，并且尽力将其翻译成中文~~

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-tutorials-examples-and-books

PyTorch1.0 tutorials, examples and some books I found 【不定期更新中】整理的PyTorch 1.0 最新版教程、例子和书籍

quantum-computing-books

"Quantum attention functions are the keys to quantum machine learning." ― Amit Ray

reinforcement-learning-with-tensorflow

Reinforcement Learning with TensorFlow, published by Packt

sorel-20m

Sophos-ReversingLabs 20 million sample dataset

tensorflow-1x-deep-learning-cookbook

TensorFlow 1.x Deep Learning Cookbook, published by Packt

trustworthiness

Code used to produce the experimental results in the paper entitled “Statistical Estimation of Malware Detection Metrics in the Absence of Ground Truth” (downloadable soon at http://www.cs.utsa.edu/~shxu/socs/)