Aaron Bernard's repositories
hello-algo
《Hello 算法》：动画图解、一键运行的数据结构与算法教程，支持 Java, C++, Python, Go, JS, TS, C#, Swift, Rust, Dart, Zig 等语言。
MiniGPT-4
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
AutoEq
Automatic headphone equalization from frequency responses
akshare
AkShare is an elegant and simple financial data interface library for Python, built for human beings!
Dive-into-DL-PyTorch
本项目将《动手学深度学习》（Dive into Deep Learning）原书中的MXNet代码实现改为PyTorch实现。
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.
SJTU-Courses
上海交通大学课程资料分享
libpku
贵校课程资料民间整理
zju-icicles
浙江大学课程攻略共享计划
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
the-craft-of-selfteaching
One has no future if one couldn't teach themself.
Lihang
Statistical learning methods, 统计学习方法 [李航] 值得反复读. [笔记, 代码, notebook, 参考文献, Errata]
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
PRML
PRML algorithms implemented in Python
TensorFlow-Course
Simple and ready-to-use tutorials for TensorFlow
cs229t
Statistical Learning Theory (CS229T) Lecture Notes
wtfpython
A collection of surprising Python snippets and lesser-known features.
wtfpython-cn
wtfpython的中文翻译/施工结束/ 能力有限，欢迎帮我改进翻译
the-elements-of-statistical-learning-notebooks
Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman
MachineLearning
Machine learning resources
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
PRMLT
Matlab code for machine learning algorithms in book PRML
info490-sp17
Advanced Data Science, University of Illinois Spring 2017
info490-fa15
INFO 490: Foundations of Data Science, offered in the Fall 2015 Semester at the University of Illinois