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arXiv · 2112.10638

Latte: Cross-framework Python Package for Evaluation of Latent-Based Generative Models

Karn N. Watcharasupat·Junyoung Lee·Alexander Lerch
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Abstract

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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BibTeXRIS

Karn N. Watcharasupat, Junyoung Lee, Alexander Lerch. 2021-12-20. Latte: Cross-framework Python Package for Evaluation of Latent-Based Generative Models. https://doi.org/10.1016/j.simpa.2022.100222

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