Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
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- development
- design
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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Curated list of project-based tutorials
All Algorithms implemented in Python
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
Learn AI Engineering! Learn it. Build it. Ship it for others.
A curated list of awesome Machine Learning frameworks, libraries and software.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
DeepTutor: Lifelong Personalized Tutoring. https://deeptutor.info/.
A collection of learning resources for curious software engineers
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
PyTorch Tutorial for Deep Learning Researchers
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
100-Days-Of-ML-Code中文版
Best Practices on Recommendation Systems
Machine Learning Engineering Open Book
📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
Code samples for my book "Neural Networks and Deep Learning"
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.