Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
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Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
TranslatedLearn and understand Docker&Container technologies, with real DevOps practice!
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
TranslatedThe pytorch handbook is an open-source book that aims to help friends who want to use PyTorch for deep learning development and research get started quickly. All of the PyTorch tutorials it contains have been tested to ensure they run successfully.
- pytorch
- pytorch-tutorials
- pytorch-handbook
- deep-learning
Machine Learning Engineering Open Book
TranslatedQiu Xipeng's "Neural Networks and Deep Learning" (神经网络与深度学习), Second Edition and General Edition: e-book, chapter table of contents, learning resources, and errata.
- attention-mechanism
- chinese
- deep-learning
- machine-learning
TranslatedThis project changes the MXNet implementations in the original book 《动手学深度学习》 (Dive into Deep Learning) into PyTorch implementations.
- deep-learning
- deep-learning-tutorial
- pytorch
- pytorch-tutorial
TranslatedIllustrated computer networks, operating systems, computer organization, and databases, with 1,000 diagrams + 500,000 characters, breaking down obscure and hard-to-understand computer fundamentals, so that no "bagu wen" (standard interview question essays) is hard to understand in the world! 🚀 Read online: https://xiaolincoding.com
- java
- cpp
- python
- c
Code samples for my book "Neural Networks and Deep Learning"
Translated"Lee Hung-yi's Deep Learning Tutorial" (recommended by Professor Hung-yi Lee 👍, the Apple Book 🍎), PDF download address: https://github.com/datawhalechina/leedl-tutorial/releases
- machine-learning
- deep-learning
- leedl-tutorial
- cnn
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
The OWASP Mobile Application Security Testing Guide (MASTG) is a comprehensive manual for mobile app security testing and reverse engineering. It describes technical processes for verifying the OWASP Mobile Security Weakness Enumeration (MASWE) weaknesses, which are in alignment with the OWASP MASVS.
The "Python Machine Learning (1st edition)" book code repository and info resource
- machine-learning
- machine-learning-algorithms
- logistic-regression
- data-science
TranslatedKubernetes Architecture and Ecosystem: A Guide to Building Infrastructure from Cloud Native to AI Native
Ansible for DevOps examples.
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
- tensorflow
- machine-learning
- regression
- convolutional-neural-networks
Contributed code examples from O'Reilly Android Cookbook. See #user-content-table README below!
These are the sample Bounded Contexts for C#.NET from the book "Implementing Domain-Driven Design" by Vaughn Vernon: http://vaughnvernon.co/?page_id=168
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
- social-network
- indiana-university
- network-science
- textbook
Source code for the "Backbone.Marionette.js: A Gentle Introduction" book available at https://leanpub.com/marionette-gentle-introduction
Statistical Analysis of Network Data with R, 2nd Edition
Code for "Social Networks for Startups"
Code for the second edition of Microservices in .NET Core