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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🌟

awesome-shell

A curated list of awesome command-line frameworks, toolkits, guides and gizmos. Inspired by awesome-php.

awesome-tensorflow

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

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

best-websites-a-programmer-should-visit

:link: Some useful websites for programmers.

bgslibrary

A C++ Background Subtraction Library with wrappers for Python, MATLAB, Java and GUI on QT

books

【编程随想】收藏的电子书清单（多个学科，含下载链接）

books-1

技术资料分享

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

chinese-education-finance-and-policy-associaton

choice-and-matching-for-chinese-college-admission-

community-college-research

This repository contains both R and Python code that help with institutional data analysis

competition-baseline

数据科学竞赛各种baseline代码、思路分享

computer-science-flash-cards

Mini website for testing both general CS knowledge and enforce coding practice and common algorithm/data structure memorization.

corenlp

Stanford CoreNLP: A Java suite of core NLP tools.

coursera-getting-and-cleaning-data-project

course project for Coursera "Getting and Cleaning Data"

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

courses-1

Awesome Courses

cpp-0-1-resource

C++ 匠心之作 从0到1入门资料

cpp-programming

cs-books

📚 Computer Science Books 计算机技术类书籍 PDF

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

cs229

Stanford CS229 (Autumn 2017)

cs231n.github.io

Public facing notes page

cs_books

Books in Computer Science

cv-1

There is some information concerning the resume

data-analysis

Data Science Using Python

data-analysis-and-machine-learning-projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

data-manipulation-and-analysis-with-python