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ecthros/uncaptcha2

defeating the latest version of ReCaptcha with 91% accuracy
Homepage
http://uncaptcha.cs.umd.edu/
Total stars
3,985
Stars per day
207
Created at
2 weeks ago

pjialin/py12306

🚂 12306 购票助手,支持分布式,多账号,多任务购票
Total stars
2,501
Stars per day
205
Created at
1 week ago

sdushantha/sherlock

🔎 Find usernames across over 75 social networks
Total stars
2,739
Stars per day
104
Created at
3 weeks ago

osforscience/deep-learning-ocean

:satellite: All You Need to Know About Deep Learning - A kick-starter
Total stars
1,240
Stars per day
97
Created at
1 week ago

mahmoud/awesome-python-applications

💿 Free software that works great, and also happens to be open-source Python.
Homepage
http://yourelookin@it.example.com#readme
Total stars
5,847
Stars per day
88
Created at
2 months ago

open-source-for-science/TensorFlow-Course

Simple and ready-to-use tutorials for TensorFlow
Total stars
9,197
Stars per day
84
Created at
3 months ago
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easy-tensorflow
Simple and comprehensive tutorials in TensorFlow
TensorFlow-World
CNTK-World
:earth_americas: Simple and ready-to-use deep learning examples for the Microsoft Cognitive Toolkit (CNTK)
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leisurelicht/wtfpython-cn

wtfpython的中文翻译/施工结束/ 能力有限,欢迎纠错
Homepage
https://github.com/satwikkansal/wtfpython
Total stars
5,165
Stars per day
73
Created at
2 months ago
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InterviewKeyOfPython
Here is all about Python each related interview and interview experience (这里包含所有关于python各个相关岗位的面试真题以及面试经验),会即时更新以及收录最新的面试大全
wtfPython
A collection of subtle and tricky Python examples
interview_python
关于Python的面试题
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kimiyoung/transformer-xl

Total stars
669
Stars per day
58
Created at
1 week ago

avinashpaliwal/Super-SloMo

PyTorch implementation of Super SloMo by Jiang et al.
Total stars
1,298
Stars per day
51
Created at
3 weeks ago

imhuay/Interview_Notes-Chinese

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记
Total stars
10,307
Stars per day
45
Created at
7 months ago
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Interview-Notebook-PDF
https://github.com/CyC2018/Interview-Notebook PDF版本离线阅读
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15个章节,近20万字。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............ 版权所有,违权必究 Tan 2018.06
cama_summer_school_2017
杭电 MIL 机器学习暑期研讨班
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