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Google Student Developer Clubs
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Context-adaptive sensor arbitration for household robot lifting: reconciles conflicting force and vision streams, explains trust decisions, and executes verified LIFT/NO_LIFT actions in Webots.
A Curated List of Awesome Works in World Modeling, Aiming to Serve as a One-stop Resource for Researchers, Practitioners, and Enthusiasts Interested in World Modeling.
Lecture slides for the Course "Large Foundation Models: Mathematics, Algorithms, and Applications"
Homepage for the joint course of Megvii Inc. and Peking University on Deep Learning.
[ACM CSUR 2025] Understanding World or Predicting Future? A Comprehensive Survey of World Models
Learn everything about world model
Machine Learning Course Materials, Tsinghua IIIS
[ECCV 2026 Oral] Official Pytorch implementation for See & Sniff: Learning Visuo-Olfactory Representations
Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
[Lumina具身智能社区] 具身智能技术指南 Embodied-AI-Guide
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
The Little Book of Reinforcement Learning
Become skilled in Artificial Intelligence, Machine Learning, Generative AI, Deep Learning, Data Science, Natural Language Processing, Reinforcement Learning and more with this complete 0 to 100 rep…
Multi-Agent Blog Generator based on Agno framework. Supports leading LLM providers like OpenAI, Gemini, Claude, and Grok.
Supercomputing for Artificial Intelligence
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
An awesome README template to jumpstart your projects!
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
A comprehensive collection of recent papers on graph deep learning
Minimal and clean examples of machine learning algorithms implementations
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
autonomous red teaming platform; multi-agent offensive-security meta-harness