NVIDIA curated collection of educational resources related to general purpose GPU programming.
Practice your pandas skills!
A collection of pre-trained, state-of-the-art models in the ONNX format
Collection of Free Google Colab and Kaggle notebooks for AI tools.
Collection of step-by-step playbooks for setting up AI/ML workloads on NVIDIA DGX Spark devices with Blackwell architecture.
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
Collection of notebooks about quantitative finance, with interactive python code.
A 15TB Collection of Physics Simulation Datasets
A collection of various deep learning architectures, models, and tips
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
A collection of scripts and notebooks to help you get started quickly.
Collection of algorithms for online portfolio selection
A Collection of Google Colab Notebooks for various projects
👩🏻🍳 A collection of example notebooks using Haystack
A collection of notebooks/recipes showcasing usecases of open-source models with Together AI.
A collection of Jupyter notebooks developed by the community showing how to use Qiskit
Collection of Jupyter notebooks is designed to provide you with a comprehensive guide to various AI tools and technologies
✅(已完结)超级全面的 Python 笔记【马士兵教育】
Comprehensive archive of IBM Qiskit Global Summer School 2026 (QGSS '26) lecture slides, C++/Python lab walkthroughs, code notebooks, reading strategies, and a curated 80+ item Quantum Computing & QML resource collection.
MongoDB's Generative AI Showcase: an exhaustive collection of examples and sample applications covering Retrieval-Augmented Generation (RAG), AI agents, and industry-specific use cases.
The Classiq Library is the largest collection of quantum algorithms and applications. It is the best way to explore quantum computing software. We welcome community contributions to our Library 🙌
This is a repo with links to everything you'd ever want to learn about data engineering