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

• URL: http://arxiv.org/abs/2112.10638v1
• Date: Mon, 20 Dec 2021 16:00:28 GMT
• Title: Latte: Cross-framework Python Package for Evaluation of Latent-Based Generative Models
• Authors: Karn N. Watcharasupat, Junyoung Lee, and Alexander Lerch
• Abstract summary: Latte is a Python library for evaluation of latent-based generative models. Latte is compatible with both PyTorch and/Keras, and provides both functional and modular APIs.
• Score: 65.51757376525798
• License: http://creativecommons.org/licenses/by/4.0/
• 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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