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Albert Ou's Projects

awesome-datascience icon awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-python-cn icon awesome-python-cn

Python资源大全中文版,包括:Web框架、网络爬虫、模板引擎、数据库、数据可视化、图片处理等,由伯乐在线持续更新。

awesome-python-login-model icon awesome-python-login-model

😮python模拟登陆一些大型网站,还有一些简单的爬虫,希望对你们有所帮助❤️,如果喜欢记得给个star哦🌟

colleint icon colleint

Examples and exercises from the programming collective intelligence book. My experimentation with machine learning algorithms.

cut_image icon cut_image

使用python PIL 库将一张照片切分为9张图

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

download icon download

🔴蓝灯最新版本下载 https://github.com/getlantern/download 🔴 Lantern Latest Download https://github.com/getlantern/lantern/releases/tag/latest 🔴

face_recognition icon face_recognition

The world's simplest facial recognition api for Python and the command line

free-ss-ssr icon free-ss-ssr

免费的SS账号、SSR账号,定期更新。优先更新:

games icon games

Some games created by python code.

home icon home

Rime::Home is home to Rime users and developers

kaggle icon kaggle

Kaggle 项目实战(教程) = 文档 + 代码 + 视频

m00dbot icon m00dbot

Telegram bot for self-testing of anxiety and depression

miaow icon miaow

A set of plugins for Sketch include drawing links & marks, UI Kit & Color sync, font & text replacing.

neteasecloudmusicflac icon neteasecloudmusicflac

根据网易云音乐的歌单, 下载flac无损音乐到本地. Download the FLAC music from Internet according to your NeteaseCloudMusic playlist.

pip-tool icon pip-tool

PiP tool is a software to use the Picture in Picture mode on Windows. This feature allows you to watch content (video for example) in thumbnail format on the screen while continuing to use any other software on Windows.

pydata-book icon pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

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