Pinned Repositories
AAAMLP-CN
Approaching (Almost) Any Machine Learning Problem Chinese , https://ytzfhqs.github.io/AAAMLP-CN/
Books
书籍资料汇总
Cylinder2DFlowControlDRL
code for performing active flow control of the 2D Karman street using Deep Reinforcement Learning
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Deep-Residual-Shrinkage-Networks
The deep residual shrinkage network is a variant of deep residual networks.
DRLinFluids
An open-source Python platform of coupling deep reinforcement learning and OpenFOAM
free-programming-books.pdf
📚 技术书籍 PDF 文件，持续更新
Lhy_Machine_Learning
李宏毅2021/2022/2023春季机器学习课程课件及作业
Matlab-Machine
mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
MaxwellDemon662634's Repositories
MaxwellDemon662634/AAAMLP-CN
Approaching (Almost) Any Machine Learning Problem Chinese , https://ytzfhqs.github.io/AAAMLP-CN/
MaxwellDemon662634/Books
书籍资料汇总
MaxwellDemon662634/Cylinder2DFlowControlDRL
code for performing active flow control of the 2D Karman street using Deep Reinforcement Learning
MaxwellDemon662634/d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
MaxwellDemon662634/Deep-Residual-Shrinkage-Networks
The deep residual shrinkage network is a variant of deep residual networks.
MaxwellDemon662634/DRLinFluids
An open-source Python platform of coupling deep reinforcement learning and OpenFOAM
MaxwellDemon662634/free-programming-books.pdf
📚 技术书籍 PDF 文件，持续更新
MaxwellDemon662634/Lhy_Machine_Learning
李宏毅2021/2022/2023春季机器学习课程课件及作业
MaxwellDemon662634/Matlab-Machine
MaxwellDemon662634/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
MaxwellDemon662634/numpy-100
100 numpy exercises (with solutions)
MaxwellDemon662634/Python
Python3编写的各种大小程序，包含从零学Python系列、12306抢票、省市区地址库以及系列网站爬虫等学习源码
MaxwellDemon662634/resolvent
Repository for all Matlab/Python code for the Navier-Stokes Resolvent analysis
MaxwellDemon662634/understanding_dl
A lecture note for understanding deep learning