TensorFlow Slim Models
A repository of state-of-the-art model implementations and examples built with TensorFlow, demonstrating best practices for research and production.
What is TensorFlow Slim Models?
TensorFlow Model Garden is a repository containing state-of-the-art model implementations and examples built with TensorFlow. It provides officially maintained models, research implementations, and community-curated solutions to help users adopt best practices for machine learning modeling. The project aims to improve transparency and reproducibility while demonstrating optimal use of TensorFlow for both research and product development.
Machine learning researchers, data scientists, and developers working with TensorFlow who need reliable, up-to-date model implementations for research or production applications.
Developers choose TensorFlow Model Garden because it offers officially supported, performance-optimized implementations of cutting-edge models, along with research and community contributions. It provides training logs for reproducibility and the Orbit library for flexible training loop customization, all maintained with best practices in mind.
Overview
Models and examples built with TensorFlow
Use Cases
Best For
- Implementing state-of-the-art computer vision models with TensorFlow
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
