#tutorials

The project delivers structured and clear tutorials with optimized code for TensorFlow, assisting both novices and seasoned developers in mastering complex deep learning tasks. The repository supplies source code and documentation that clarifies model complexities, fostering an expanding community through tutorials from fundamental operations to sophisticated neural networks, all designed to enhance effective TensorFlow use.

Delve into quantum computing using PennyLane, a robust Python library for differentiable programming across quantum computers. Engage with fully executable tutorials available as Jupyter notebooks and Python scripts to deepen understanding of quantum machine learning and related topics. Contribute through demos guided by clear submission protocols, enriching a diverse learning experience with practical examples.

Discover a well-curated selection of Microsoft Azure architecture resources including blogs, videos, tutorials, and tools for effective design and implementation. This repository facilitates development in Azure by providing both official content and community contributions. Streamline technological initiatives with detailed insights into Azure capabilities.

Explore a wide range of ChatGPT plugins featuring official and third-party tools, demos, tutorials, and blog insights. This collection provides resources for enhancing ChatGPT with semantic search, web browsing, and Python coding capabilities, among others. Discover ways to optimize your workflow through unique applications and comprehensive guides, designed for both personal and organizational usage. This curated selection caters to diverse requirements and ensures easy integration with existing systems.

Discover the potential of AI generative tools with Comflowy, a community focused on enhancing ComfyUI and Stable Diffusion. Comflowy offers thorough tutorials, active discussions, and a rich database of workflows and models to support developers and users. By simplifying complex barriers, this community aims to make ComfyUI more accessible, setting the stage for its wider adoption in AI graphics. Engage with Comflowy to collaborate with like-minded individuals in advancing AI innovations.

Discover various examples and tutorials on using Azure Machine Learning services effectively. The repository includes detailed resources for using the Azure ML Python SDK v2, along with insights on .NET and TypeScript SDKs. It also features practical examples with the Azure Machine Learning CLI extension, supporting multi-language implementations. This open-source project offers valuable content for both new and experienced users aiming to utilize Azure's machine learning offerings.

Explore a structured approach to AI learning with OpenML-Guide, offering resources like courses, books, tutorials, and research papers for all skill levels. Engage with the community by suggesting topics, contributing content, or translating the site. Participate in our Discord community for feedback and collaboration, keeping abreast of the latest AI developments.

This catalog provides a wide range of Mamba-related resources, including papers, tutorials, and videos for all user levels. It acts as a detailed reference point for understanding Mamba, integrating recent research, practical guides, and instructional videos. This resource encourages community collaboration to boost Mamba skills and promote shared learning. Topics covered range from architecture and theoretical analysis to practical applications in vision and language.

Discover a toolkit that facilitates the creation and publication of books and package documents incorporating Python tutorials. D2L-Book provides a practical solution for embedding Python code, allowing users to produce books with integrated tutorials for an enhanced educational experience. Access the document site for thorough resources and guides.

Discover a wide array of MONAI tutorials for incorporating deep learning into medical imaging processes. Includes examples on 2D and 3D tasks like classification, segmentation, and regression using PyTorch. Understand the use of platforms such as Jupyter Notebook and Colab, as well as leveraging GPU resources. Also covers experiment management, federated learning, digital pathology, and deployment strategies using BentoML, Ray, and Triton, providing valuable insights for both novice and experienced practitioners in medical imaging.

Access automatically generated resources for the PyTorch C++ API documentation. Discover tutorials and usage notes for deep integration with PyTorch via C++. To make any changes, refer to the PyTorch GitHub repository to ensure updates persist. This documentation serves developers interested in comprehensive PyTorch C++ capabilities.

Access a wide range of .NET architecture e-books, tutorials, and sample applications on the .NET Architecture Guides site. Find both current and archived materials to enhance skills in .NET architecture, with options for community feedback and continuous improvement.