Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
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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
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
Course Files for Complete Python 3 Bootcamp Course on Udemy
If you want to become good at AI engineering & system design, join this newsletter 👇
- computer-science
- interview-questions
- software-engineering
- system-design
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
🎨 A curated list of delightful VS Code packages and resources.
- visual-studio
- vscode
- vscode-theme
- vscode-extension
A curated list of awesome Deep Learning tutorials, projects and communities.
Helping you select a JavaScript framework - Todo apps for React.js, Angular, Vue and many more
A complete daily plan for studying to become a machine learning engineer.
- machine-learning
- deep-learning
- artificial-intelligence
- software-engineer
Questions to ask the company during your interview
:snowman: Possibly the smallest compiler ever
A curated list of awesome actions to use on GitHub
- awesome
- github
- github-actions
- actions
TranslatedResume template for Chinese programmers. A series of programmer resume templates, including PHP programmer resume template, iOS programmer resume template, Android programmer resume template, Web front-end programmer resume template, Java programmer resume template, C/C++ programmer resume template, NodeJS programmer resume template, architect resume template, and general programmer resume template
Curated list of Go design patterns, recipes and idioms
- go
- idioms
- patterns
- awesome
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
- bayesian-methods
- pymc
- mathematical-analysis
- jupyter-notebook
Learn Low Level Design (LLD) and prepare for interviews using free resources.
- awesome
- design-patterns
- interview
- interview-practice
😱 Falsehoods Programmers Believe in
- falsehoods
- phone-number
- geography
- postal-addresses
A collection of awesome penetration testing resources and tools
30 Days of React challenge is a step by step guide to learn React in 30 days. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
- challenge
- javascript
- js
- react
Awesome-LLM: a curated list of Large Language Model
Useful resources for creating apps with Electron [SUBMISSIONS ARE TEMPORARILY PAUSED BECAUSE I'M TIRED OF REVIEWING LOW-QUALITY STUFF]
Translated:star2: Wiki of OI / ICPC for everyone. (An online walkthrough for a certain large game, containing cool arithmetic magic)
- oi
- oi-handbook
- data-structures
- algorithms
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?