Pinned Repositories
akshare
AkShare is an elegant and simple financial data interface library for Python, built for human beings!
AutoEq
Automatic headphone equalization from frequency responses
cs229t
Statistical Learning Theory (CS229T) Lecture Notes
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
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.
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。
info490-fa15
INFO 490: Foundations of Data Science, offered in the Fall 2015 Semester at the University of Illinois
info490-sp17
Advanced Data Science, University of Illinois Spring 2017
libpku
贵校课程资料民间整理
Mikehasabike's Repositories
Mikehasabike/akshare
AkShare is an elegant and simple financial data interface library for Python, built for human beings!
Mikehasabike/AutoEq
Automatic headphone equalization from frequency responses
Mikehasabike/cs229t
Statistical Learning Theory (CS229T) Lecture Notes
Mikehasabike/deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
Mikehasabike/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。
Mikehasabike/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.
Mikehasabike/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。
Mikehasabike/info490-fa15
INFO 490: Foundations of Data Science, offered in the Fall 2015 Semester at the University of Illinois
Mikehasabike/info490-sp17
Advanced Data Science, University of Illinois Spring 2017
Mikehasabike/libpku
贵校课程资料民间整理
Mikehasabike/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]
Mikehasabike/MachineLearning
Machine learning resources
Mikehasabike/MiniGPT-4
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
Mikehasabike/PRML
PRML algorithms implemented in Python
Mikehasabike/PRMLT
Matlab code for machine learning algorithms in book PRML
Mikehasabike/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
Mikehasabike/SJTU-Courses
上海交通大学课程资料分享
Mikehasabike/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
Mikehasabike/TensorFlow-Course
Simple and ready-to-use tutorials for TensorFlow
Mikehasabike/the-craft-of-selfteaching
One has no future if one couldn't teach themself.
Mikehasabike/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
Mikehasabike/wtfpython
A collection of surprising Python snippets and lesser-known features.
Mikehasabike/wtfpython-cn
wtfpython的中文翻译/施工结束/ 能力有限，欢迎帮我改进翻译
Mikehasabike/zju-icicles
浙江大学课程攻略共享计划