Translated《动手学深度学习》 (Dive into Deep Learning): for Chinese readers, runnable, and open to discussion. The Chinese and English editions are used for teaching at more than 500 universities in more than 70 countries.
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TranslatedMain open-source repository of "Understanding AI Agents in Depth: Design Principles and Engineering Practice" (by Li Bojie): the full text of the book, the compiled PDF, and companion code organized by chapter
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.
Machine Learning Engineering Open Book
- pytorch
- slurm
- large-language-models
- llm
Code samples for my book "Neural Networks and Deep Learning"
Python Implementation of Reinforcement Learning: An Introduction
TranslatedHand-written implementations of all the algorithms in Li Hang's book "Statistical Learning Methods" (《统计学习方法》)
- machine-learning-algorithms
- code
- statistical-learning-method
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
TranslatedIntroductory tutorial on recommender systems, online reading address: https://datawhalechina.github.io/fun-rec/
- recommender-system
- tensorflow
- tianchi-competition
- deep-learning
TranslatedStatistical learning methods, Statistical Learning Methods (2nd edition) [Li Hang] [notes, code, notebook, references, Errata, lihang]
- book
- lihang
- statistical-learning-methods
- machine-learning
TranslatedCompanion code for "21 Projects to Master Deep Learning: A Detailed Practical Guide Based on TensorFlow"
Translated"Large Language Models" (《大语言模型》), authors: Zhao Xin, Li Junyi, Zhou Kun, Tang Tianyi, Wen Jirong
- artificial-intelligence
- deep-learning
- deep-neural-networks
- deep-reinforcement-learning
Learn how to design large-scale systems. Prep for the system design interview.
- architecture
- interview
- design
- design-patterns
Hands-on Deep Reinforcement Learning, published by Packt