The Timm Leaderboard

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The timm Leaderboard is an Open Source & Models tool that allows users to explore and compare the performance of different PyTorch image models. It provides interactive charts and tables for model evaluation.

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At a glance

Pricing

Free · Open Source

Free tier

Yes

API

Skill level

Technical

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About

What is The timm Leaderboard?

The timm Leaderboard is a Hugging Face Space designed for exploring and comparing the performance of various PyTorch image models. Users can interactively visualize model accuracy and other metrics through charts and tables. The platform offers robust filtering capabilities, allowing users to search for models by name using wildcards, regular expressions, or fuzzy matching. This tool is particularly valuable for AI researchers and machine learning engineers who need to benchmark and select appropriate models for their projects, providing a comprehensive overview of the timm ecosystem's model performance.

Best used for

Ideal for developers and professors who need to compare the performance of various PyTorch image models, evaluate new architectures, and identify the best models for specific tasks. Especially valuable for researchers and engineers working with computer vision models.

Common actions

compare AI models

evaluate model performance

benchmark image models

explore PyTorch models

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Capabilities

Key features

Explore PyTorch image models
Compare model performance
Interactive charts
Filter models by name
Wildcard, regex, fuzzy matching

Target Audience

developerprofessor

Integrations

Not yet documented

Pricing & Plans

Free · Open Source

Free

FAQs

What kind of models can I compare on the timm Leaderboard?

The timm Leaderboard focuses on PyTorch image models. You can explore and compare a wide range of models designed for various computer vision tasks, evaluating their performance metrics like accuracy through interactive visualizations.

How can I find specific models on the leaderboard?

The leaderboard offers flexible filtering options. You can search for models by name using wildcards for broad searches, regular expressions for precise patterns, or fuzzy matching for more lenient searches, making it easy to locate relevant models.

Is the timm Leaderboard free to use?

Yes, the timm Leaderboard is hosted on Hugging Face Spaces and is freely accessible. It is an open-source project, allowing anyone to explore and compare PyTorch image model performance without any cost.

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Research & Education › Academic Research

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