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Collect some CS textbooks for learning.
How to make undergraduates or new graduates ready for advanced computer architecture research or modern CPU design
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Master programming by recreating your favorite technologies from scratch.
📚 计算机经典编程书籍、大黑书、编程电子书、电子书、编程书籍，包括计算机基础、C/C++、Java、Python、面试题、架构设计、算法系列等经典电子书。
A resource for learning about Machine learning & Deep Learning
PyTorch tutorials, examples and some books I found 【不定期更新】整理的PyTorch 最新版教程、例子和书籍
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
PRML algorithms implemented in Python
Matlab code of machine learning algorithms in book PRML
Machine Learning, Python, Deep Learning, Linux, Pandas, Matplotlib, Git...
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
A collection of various deep learning architectures, models, and tips
PyTorch Tutorial for Deep Learning Researchers
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
仅需Python基础，从0构建大语言模型；从0逐步构建GLM4\Llama3\RWKV6， 深入理解大模型原理
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
Code examples in pyTorch and Tensorflow for CS230
Understanding Deep Learning - Simon J.D. Prince
python notebooks accompanying the book Make Your Own GAN
Deep and online learning with spiking neural networks in Python
Restricted Boltzmann Machines in Python.
Restricted Boltzmann Machines (RBMs) in PyTorch