NVIDIA / cosmos
NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.
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NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models
[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Learn how to develop, deploy and iterate on production-grade ML applications.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
📚 从零开始构建大模型
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调(全参数/Lora)、部署国内外开源大模型(LLM)/多模态大模型(MLLM)教程
All course materials for the Zero to Mastery Machine Learning and Data Science course.
10 Weeks, 20 Lessons, Data Science for All!
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
This is a repo with links to everything you'd ever want to learn about data engineering
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
TRACER: replace 90%+ of your LLM classification calls with a traditional ML model. Formal parity guarantees. Self-improving.