A book-in-progress about the Linux kernel and its insides.
- linux-kernel
- linux-insides
- linux
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Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
- artificial-intelligence
- cloud-ml
- computer-systems
- courseware
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
TranslatedChinese translation of 《Designing Data-Intensive Application》 (DDIA), 1st edition / 2nd edition
Machine Learning Engineering Open Book
- pytorch
- slurm
- large-language-models
- llm
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.
An open access book on scientific visualization using python and matplotlib
- python
- matplotlib
- dataviz
- scientific-publications
Ansible for DevOps examples.
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
- tensorflow2
- tensorflow
- tensorflow-examples
- tensorflow-tutorial
Translated⛽️ "Algorithm Clearance Handbook": A learning tutorial on "algorithms and data structures" starting from zero, with 200 "popular algorithm interview questions" and 1000+ "LeetCode problem analyses", continuously updated!
- leetcode
- python
- data-structure
- algorithms
TranslatedPython for "Deep Learning": mathematical derivations, principle analysis, and source-code-level implementations for the book "深度学习" (Deep Learning, known as the "Flower Book")
- python
- deep-learning
- machine-learning
- xgboost
TranslatedLinux Kernel Revealed
TranslatedIntroductory tutorial on recommender systems, online reading address: https://datawhalechina.github.io/fun-rec/
- recommender-system
- tensorflow
- tianchi-competition
- deep-learning
TranslatedE-book "Large Models and Agents" (《大模型与智能体》) with 6 programming tasks: Transformer, mini-GPT, SFT/DPO, RAG, tool calling, and coding agents.
TranslatedCompanion code for "21 Projects to Master Deep Learning: A Detailed Practical Guide Based on TensorFlow"
Evidence archive for Jesus of Nazareth: research dossier (PDF), New Testament, gnostic and extracanonical gospels, church fathers, ancient witnesses, Roman legal documents, archaeology, and all 238 cited references — searchable reader at https://sybil-solutions.github.io/all-historical-evidence-of-jesus-christ/