a-pai Goto Github PK

learngit

learning-r-programming-code-data

Code and Data for Learning R Programming book

lihang-code

《统计学习方法》的代码实现

lung-cancer-detection

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

machine-learning_zhouzhihua

Exercises answers to the book "machine-learning" written by Prof. Zhou Zhihua of Nanjing University

machine_learning_beginner

机器学习初学者公众号作品

machinelearning-watermelonbook

周志华-机器学习

machinelearningnotebooks

manim

Animation engine for explanatory math videos

mastering-machine-learning-with-scikit-learn-second-edition

Mastering Machine Learning with scikit learn Second Edition, published by Packt

ml_practice

ML Records in 1110 Lab of BUPT. Some detailed information can be referenced on: https://mathpretty.com/10388.html

mlr3extralearners

Extra learners for use in mlr3.

models

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

note-by-latex

《简单粗暴 LaTeX》手册开源仓库 | The opensource repo for my published LaTeX book.

numerical-python-book-code

or-pandas

【运筹OR帷幄|数据科学】pandas教程系列电子书

paddleclas

A treasure chest for image classification powered by PaddlePaddle

pandas-100-puzzles

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

pandas-tutorial

适合初级到中级晋升者，有了体系之后就看熟练度了。

pandas_exercises

Practice your pandas skills!

penrose

Create beautiful diagrams just by typing mathematical notation in plain text.

plotly_book

plotly for R book

pt--

pt-20d

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

py4fi2nd

Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media