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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

administrator

awesome-pytorch-chinese

【干货】史上最全的PyTorch学习资源汇总

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

book

book-resources

cheatsheets

Official Matplotlib cheat sheets

clash_for_windows_pkg

A Windows/macOS GUI based on Clash

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

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++

data-analysis

Data Science Using Python

data-science-essentials

Course files for the Microsoft data Science Essentials Course

data_analysis

一些数据分析相关实战练习

datasciencestudynotes

这个仓库保管从（数据科学学习手札69）开始的所有代码、数据等相关附件内容

deep-learning-from-scratch

『ゼロから作る Deep Learning』のリポジトリ

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

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

drawio-desktop

Official electron build of diagrams.net

elyra

Elyra extends JupyterLab Notebooks with an AI centric approach.

examples

A repository of examples/sample notebooks and scenarios for Elyra

feature-engineering-handbook

A practical feature engineering handbook

flink-cdc-connectors

CDC Connectors for Apache Flink®

gephi

Gephi - The Open Graph Viz Platform

gridstudio

Grid studio is a web-based spreadsheet application with full integration of the Python programming language.

hands-on-machine-learning

A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hands-on-machine-learning-with-sklearn-tensorflow

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

infographic

Infographic

interpretablemlbook

《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版