TensorFlow Models
A repository of state-of-the-art model implementations and examples built with TensorFlow, demonstrating best practices for machine learning.
What is TensorFlow Models?
TensorFlow Model Garden is a repository containing implementations of state-of-the-art machine learning models and modeling solutions built with TensorFlow. It provides reference examples that demonstrate best practices for TensorFlow users, enabling them to leverage these models for research and product development. The repository includes officially maintained models, research implementations, and community-curated resources.
Machine learning researchers, data scientists, and developers working with TensorFlow who need reference implementations of SOTA models or want to learn best practices for model development and training.
Developers choose TensorFlow Model Garden because it provides officially maintained, optimized implementations of cutting-edge models with training logs for transparency, along with the Orbit library for flexible training loop customization. It serves as a trusted resource for production-ready model code and best practices directly from the TensorFlow team.
Overview
Models and examples built with TensorFlow
Use Cases
Best For
- Finding production-ready implementations of state-of-the-art machine learning models
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