Stars
Jupyter notebooks for the Natural Language Processing with Transformers book
Natural Language Processing with Transformers 中译本，最权威Transformers教程
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
『ゼロから作る Deep Learning ❺』(O'Reilly Japan, 2024)
深度学习入门2：自制框架-随书代码
Deep Learning Book Chinese Translation
A simple yet powerful agent framework that delivers with open-source models
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Tensors and Dynamic neural networks in Python with strong GPU acceleration
LaTeX/PDF + Epub version of the online book (http://neuralnetworksanddeeplearning.com) ”Neural Networks and Deep Learning“ by Michael Nielsen (@mnielsen)
『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)
『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
『ゼロから作る Deep Learning ❷』(O'Reilly Japan, 2018)
A tutorial on RDMA based programming using code examples
A Tutorial how to get started with Linux Kernel Modules and Linux Drivers.
A book for Learning the Foundations of LLMs
Code samples for my book "Neural Networks and Deep Learning"
Homepage for STAT 157 at UC Berkeley
冈萨雷斯《数字图像处理》第三版-课后习题答案；《数字图像处理（matlab版）》-源代码及图片 DIP
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
Iproute2 Source Code Mirror - This is a publish-only repository. Please follow README.devel procedure for any changes.