✔️ Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use Case This library implements some of the most common (Variational) Autoencoder models<a target='_blank' rel='noreferrer nofollow' href='https://sun9-79.userapi.com/impf/HKEslknIQ95-vcYEenaQQEViBMfWAS_y3w-4nQ/oyR2cn_VEQI.jpg?size=2018x708&quality=96&sign=75b3736598d2b7f27551b79438a8e774&type=album'>. Github: https://github.com/clementchadebec/benchmark_VAE Paper: https://arxiv.org/abs/2206.08309v1 Dataset: https://paperswithcode.com/dataset/celeba @ai_machinelearning_big_data