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ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

algorithm

algorithm-essentials

算法精粹--举一反三，抛弃题海战术

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

algorithms

全面的算法代码仓库

awesome

:sunglasses: Curated list of awesome lists

awesome-algorithm

Leetcode 题解 (跟随思路一步一步撸出代码) 及经典算法实现

awesome-cpp

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

awesome-lane-detection

lane detection

awesome-machine-learning

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

awesome-machine-learning-cn

机器学习资源大全中文版，包括机器学习领域的框架、库以及软件

awesome-programming-books

经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

awsome-front-end-learning-resource

:octocat:GitHub最全的前端资源汇总仓库（包括前端学习、开发资源、求职面试等）

bm3d

Clone from http://www.cs.tut.fi/~foi/GCF-BM3D/index.html#ref_software

build-your-own-x

🤓 Build your own (insert technology here)

caffe

Caffe: a fast open framework for deep learning.

calculator

Windows Calculator: A simple yet powerful calculator that ships with Windows

computer-science

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

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cpprobotics

cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control

cs-notes

:books: Tech Interview Guide 技术面试必备基础知识、Leetcode 题解、Java、C++、Python、后端面试、操作系统、计算机网络、系统设计

cvpr2020

cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理

datamining_algorithms

用python实现SVM/AdaBoost/C4.5/CART/Naïve Bayes等数据挖掘领域十大经典算法

datastructure_yanweimin

严蔚敏数据结构c语言版本可运行源码、完全c语言代码实现

deep-learning-21-examples

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

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............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deeplearning_interview100questions

七月在线学习整理-深度学习面试100题