johndonie,JohnDonie,github

bert4keras

keras implement of transformers for humans

bilibili_notes

攻城狮之家B站课程课件合集，2号仓库地址https://github.com/JokerJohn/bilibli_notes2.git

bilibli_notes2

攻城狮之家B站视频课程课件合集2，1号仓库https://github.com/JokerJohn/bilibili_notes.git

bloodglucosepredict

Linear regression was used to establish a linear relationship between blood glucose and time

coursera-ml-py

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

courseraml

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

deep-learning-book

:book: MIT Deep Learning Book in PDF format

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

excel2json

把Excel表转换成json对象，并保存到一个文本文件中。

free-programming-books

:books: Freely available programming books

free-programming-books-zh_cn

:books: 免费的计算机编程类中文书籍，欢迎投稿

fullstack-data-engineer

全栈数据工程师养成攻略

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-ml-zh

:book: [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】

hands_on_ml_w_scikit_karas_and_tensorflow

Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow 2nd Edition by Aurélien Géron

handson-ml

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