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

• 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
• Institution: Nanyang Technological University

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...