AI tools
Machine learning frameworks
6 listings are ranked by release freshness and adoption until verified reviews arrive; then review quality, volume and vendor responsiveness join the score. Open any row to see its receipt. See the formula
- 4 fresh released in the last 90 days
- 1 aging no release for 90 to 179 days
- 1 stale no release for 180 days or more
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Transformers
Python library with model definitions and pretrained weights for text, vision and audio transformers.
Updated 11 days ago1 93.5 =Show how this rank is calculated
Rank receipt: Transformers#5 overall · #1 in category93.5/100- Release freshness +50.0 100.0 × 50%
- Adoption signals +43.5 87.0 × 50%
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PyTorch
Python deep learning framework with tensors, automatic differentiation and GPU acceleration.
Updated 2 days ago2 91.8 =Show how this rank is calculated
Rank receipt: PyTorch#20 overall · #2 in category91.8/100- Release freshness +50.0 100.0 × 50%
- Adoption signals +41.8 83.6 × 50%
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scikit-learn
Python library for classical machine learning: classification, regression, clustering and preprocessing.
Updated 10 days ago3 90.2 =Show how this rank is calculated
Rank receipt: scikit-learn#40 overall · #3 in category90.2/100- Release freshness +50.0 100.0 × 50%
- Adoption signals +40.2 80.5 × 50%
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JAX
Python library for composable transformations of NumPy-style code: autodiff, JIT compilation and vectorization.
Updated 4 days ago4 88.0 =Show how this rank is calculated
Rank receipt: JAX#80 overall · #4 in category88.0/100- Release freshness +50.0 100.0 × 50%
- Adoption signals +38.0 76.0 × 50%
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Some-Many-Books
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No release for 95 days5 76.8 =Show how this rank is calculated
Rank receipt: Some-Many-Books#165 overall · #5 in category76.8/100- Release freshness +40.3 80.6 × 50%
- Adoption signals +36.5 72.9 × 50%
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TensorFlow
Machine learning platform for building, training and deploying models on servers, browsers and devices.
Stale: 199 days without a release6 69.0 =Show how this rank is calculated
Rank receipt: TensorFlow#177 overall · #6 in category69.0/100- Release freshness +24.8 49.6 × 50%
- Adoption signals +44.2 88.4 × 50%