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100-days-of-ml-code

100 Days of ML Coding

100-days-of-ml-code-1

100-Days-Of-ML-Code中文版

100-days-of-ml-code-chinese-version

Chinese Translation for Machine Learning Infographics

996.icu

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

andrewng-ml-note-md

the notes of the machine-learning by Andrew-Ng

april

archisteamfarm

C# application with primary purpose of idling Steam cards from multiple accounts simultaneously.

attention-eeg

awesome

:sunglasses: Curated list of awesome lists

awesome-c-cn

C 资源大全中文版，包括了：构建系统、编译器、数据库、加密、初中高的教程/指南、书籍、库等。

awesome-java-cn

Java资源大全中文版，包括开发库、开发工具、网站、博客、微信、微博等，由伯乐在线持续更新。

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。

baidu-netdisk-downloaderx

⚡️ 一款图形界面的百度网盘不限速下载器，支持 Windows、Linux 和 Mac。

blog

hexo_blog

books

电子书(计算机类，经济学，数学), 格式，pdf、mobi、epub

coursera-deep-learning-deeplearning.ai

网易云课堂微专业《深度学习工程师》听课笔记，编程作业和课后练习

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

coursera-ml-py

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

crawlers

Python-Web-Crawler-Projects

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论（STAT 157）”教材。

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18个章节，50余万字。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.ai

deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

destop

electron-ssr-backup

electron-ssr原作者删除了这个伟大的项目，故备份了下来，不继续开发,且用且珍惜

forum

蓝灯(Lantern)官方论坛

free-programming-books

:books: Freely available programming books

freecodecamp.cn

The FreeCodeCamp.cn(FCC China) open source codebase and curriculum. Learn to code and help nonprofits.

getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

github-slideshow

A robot powered training repository :robot: