Latte: cross-framework Python package for evaluation of latent-based generative models
Latte (for LATent Tensor Evaluation) is a Python library for evaluation of latent-based generative models in the fields of disentanglement learning and controllable generation. Latte is compatible with both PyTorch and TensorFlow/Keras, and provides both functional and modular APIs that can be easil...
| Auteurs principaux: | , , |
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| Autres auteurs: | |
| Format: | Journal Article |
| Langue: | English |
| Publié: |
2023
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| Sujets: | |
| Accès en ligne: | https://hdl.handle.net/10356/164060 |
| Résumé: | Latte (for LATent Tensor Evaluation) is a Python library for evaluation of latent-based generative models in the fields of disentanglement learning and controllable generation. Latte is compatible with both PyTorch and TensorFlow/Keras, and provides both functional and modular APIs that can be easily extended to support other deep learning frameworks. Using NumPy-based
and framework-agnostic implementation, Latte ensures reproducible, consistent, and deterministic metric calculations regardless of the deep learning framework of choice. |
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