kierenwang Goto Github PK

2022-machine-learning-specialization

ailearning

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

algorithm-whiteboard-resources

this is where we share notebooks/projects used in your youtube channel

cam-notes

My Cambridge Lecture Notes

chatpaper

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文总结+润色+审稿+审稿回复

data-science-for-beginners

10 Weeks, 20 Lessons, Data Science for All!

example-code-2e

Example code for Fluent Python, 2nd edition (O'Reilly 2022)

free-excel

开源Excel教程。

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.

handson-ml3

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.

joyful-pandas

pandas中文教程

kierenwang

Config files for my GitHub profile.

learnpython

以撸代码的形式学习Python

lightpipes

LightPipes for Python, "Pure Python version"

lihang-code

《统计学习方法》的代码实现

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！

math-for-programmers

Source code for the book, Math for Programmers

ml-for-beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

notes-linear-algebra

线性代数笔记

pyqt5

《PyQt5快速开发与实战》配套代码

python-100-days-1

Python - 100天从新手到大师

python-cheatsheet

Comprehensive Python Cheatsheet

python-core-50-courses

Python语言基础50课

pythonpark

Python 开源项目之「自学编程之路」，保姆级教程：AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。

rayopt

Python optics and lens design, raytracing

robotsimulator

Robot simulator using opengl and python

surfalize

A python module to analyze surface roughness and periodic texture parameters

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

understanding_optics_with_python