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

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...

Full description

Saved in:
Bibliographic Details
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
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
Description
Summary: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.

Similar Items