Latte: Cross-framework Python package for evaluation of latent-based generative models
Karn N. Watcharasupat, Junyoung Lee, Alexander Lerch · Software Impacts · 2022
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.