  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.
