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-reptile

爬取机械工业出版社所有的计算机方面的书

189checkin

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algorithm-visualizer

:fireworks:Interactive Online Platform that Visualizes Algorithms from Code

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

artificial-intelligence

Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

caffe_ocr

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

chainer-variational-recurrent-autoencoder

clustering-with-deep-learning

Generic implementation for clustering with deep learning : representation learning (DNN) + clustering

coder2gwy

互联网首份程序员考公指南，由3位已经进入体制内的前大厂程序员联合献上。

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

cplusplusthings

C++那些事

cpp_houjie

侯捷C++课程PPT及代码

cs-notes

😋 技术面试必备基础知识

deep-learning-har

Convolutional and LSTM networks to classify human activity

deep-neuroevolution

Deep Neuroevolution

deep-reinforcement-learning-practice

Practice of Deep Reinforcement Learning with Keras and gym.

deepconvlstm

Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers

dynamic-fairness

Dynamic Fair Rankings

easy-rl

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

ecommercecrawlers

实战🐍多种网站、电商数据爬虫🕷。包含🕸：淘宝商品、微信公众号、大众点评、招聘网站、闲鱼、阿里任务、博客园、微博、百度贴吧、豆瓣电影、包图网、全景网、豆瓣音乐、某省药监局、搜狐新闻、机器学习文本采集、fofa资产采集、汽车之家、国家统计局、百度关键词收录数、蜘蛛泛目录、今日头条、豆瓣影评、携程、小米应用商店❤️❤️❤️。微信爬虫展示项目:

elegantrl

Cloud-native Deep Reinforcement Learning. 🔥

estool

Evolution Strategies Tool

figr

Ranking for Individual and Group Fairness Simultaneously

hanruidong

haoel.github.io

har-stacked-residual-bidir-lstms

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

interview

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。

interview-questions

根据超过 1700 篇真实面经整理的腾讯，阿里，字节跳动，Shopee，美团，滴滴高频面试题