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...

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Main Authors:	Watcharasupat, Karn N., Lee, Junyoung, Lerch, Alexander
Other Authors:	School of Electrical and Electronic Engineering
Format:	Article
Language:	English
Published:	2023
Subjects:	Engineering::Electrical and electronic engineering Engineering::Computer science and engineering Deep Generative Networks Disentanglement Learning
Online Access:	https://hdl.handle.net/10356/164060
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-164060
record_format	dspace
spelling	sg-ntu-dr.10356-1640602023-01-04T01:01:46Z Latte: cross-framework Python package for evaluation of latent-based generative models Watcharasupat, Karn N. Lee, Junyoung Lerch, Alexander School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Engineering::Computer science and engineering Deep Generative Networks Disentanglement Learning 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. Published version 2023-01-04T01:01:46Z 2023-01-04T01:01:46Z 2022 Journal Article Watcharasupat, K. N., Lee, J. & Lerch, A. (2022). Latte: cross-framework Python package for evaluation of latent-based generative models. Software Impacts, 11, 100222-. https://dx.doi.org/10.1016/j.simpa.2022.100222 2665-9638 https://hdl.handle.net/10356/164060 10.1016/j.simpa.2022.100222 2-s2.0-85123614570 11 100222 en Software Impacts © 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	Engineering::Electrical and electronic engineering Engineering::Computer science and engineering Deep Generative Networks Disentanglement Learning
spellingShingle	Engineering::Electrical and electronic engineering Engineering::Computer science and engineering Deep Generative Networks Disentanglement Learning Watcharasupat, Karn N. Lee, Junyoung Lerch, Alexander Latte: cross-framework Python package for evaluation of latent-based generative models
description	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.
author2	School of Electrical and Electronic Engineering
author_facet	School of Electrical and Electronic Engineering Watcharasupat, Karn N. Lee, Junyoung Lerch, Alexander
format	Article
author	Watcharasupat, Karn N. Lee, Junyoung Lerch, Alexander
author_sort	Watcharasupat, Karn N.
title	Latte: cross-framework Python package for evaluation of latent-based generative models
title_short	Latte: cross-framework Python package for evaluation of latent-based generative models
title_full	Latte: cross-framework Python package for evaluation of latent-based generative models
title_fullStr	Latte: cross-framework Python package for evaluation of latent-based generative models
title_full_unstemmed	Latte: cross-framework Python package for evaluation of latent-based generative models
title_sort	latte: cross-framework python package for evaluation of latent-based generative models
publishDate	2023
url	https://hdl.handle.net/10356/164060
_version_	1754611262732369920

Latte: cross-framework Python package for evaluation of latent-based generative models

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