voidlin Goto Github PK

100-days-of-ml-code

100 Days of ML Coding

annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

asmlibrary

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

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-neo4j

A curated list of Neo4j resources.

awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. Propose NEW data ☛☛☛PR☛☛☛

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-question-answering

Resources, datasets, papers on Question Answering

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

bazel

Correct, reproducible, and fast builds for everyone.

caffe

Caffe: a fast open framework for deep learning.

ch2r_ood_understanding

chinese-xinhua

中华新华字典数据库。包括歇后语，成语，汉字。提供新华字典API。

chromium

The official GitHub mirror of the Chromium source

cjieba

CppJieba的C语言api

cluewebextractor

cnl

A Compositional Numeric Library for C++

cntk

Microsoft Cognitive Toolkit (CNTK)

coursera-ml-andrewng

use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm

cppjieba-server

中文分词HTTPServer

cracklib

CrackLib Library and Dictionaries - migrated from SF.net 8/18/2015

cs-interview-knowledge-map

Build the best interview map. The current content includes JS, network, browser related, performance optimization, security, framework, Git, data structure, algorithm, etc.

cws_evaluation

Java开源项目cws_evaluation：中文分词器分词效果评估对比

dbpedia-spotlight

DBpedia Spotlight is a tool for automatically annotating mentions of DBpedia resources in text.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deeplearning

Deep Learning (Python, C, C++, Java, Scala, Go)

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearningbook

MIT Deep Learning Book in PDF format

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deeplearningbook-cn

A translation of the deep learning book (翻译《深度学习》)