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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

ace

Ajax.org Cloud9 Editor

angel

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

ansj_seg

ansj分词.ict的真正java实现.分词效果速度都超过开源版的ict. 中文分词,人名识别,词性标注,用户自定义词典

asynchbase

A fully asynchronous, non-blocking, thread-safe, high-performance HBase client.

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

blackholepy

BlackHolePy是一个迷你型的DNS（代理）服务器。它的主要特色：支持TCP DNS并支持白名单，从而在防止DNS污染的同时支持了内部私有域名解析。

boilerpipe

Work in progress transmit from Google Code

breeze

Breeze is a numerical processing library for Scala.

breeze-examples

Examples for using Breeze.

bustag

a tag and recommend system for old bus driver

caffenet-benchmark

Evaluation of the CNN design choices performance on ImageNet-2012.

captcha_crack

选字验证码破解，试验过网易和极验，破解率99

chinesecloud

Chinese Cloud

class-central

Source code for class-central.com

cloudml-samples

Samples for Google Cloud Machine Learning Engine

combinatorrent

A bittorrent client written in Haskell

czsc

缠中说禅技术分析工具；缠论；股票；期货

d2r-wing

Diablo II: Resurrected Mods

deep-ctr

An attempt of training DNN models to predict ad click-through rate, implemented with Theano.

deep-learning-with-tensorflow-book

深度学习开源书，基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deepinterestnetwork

deeplearning4j

Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind

deeprec

Implementation of Deep Learning based Recommender Algorithms with Tensorflow.

dhtcrawler

dhtcrawler is a DHT crawler written in erlang. It can join a DHT network and crawl many P2P torrents.

dlrm

An implementation of a deep learning recommendation model (DLRM)

docred

Dataset and codes for ACL 2019 DocRED: A Large-Scale Document-Level Relation Extraction Dataset.

dqn

Implementation of q-learning using TensorFlow

dumbo

Python module that allows one to easily write and run Hadoop programs.

easyml

Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks.