Popular GitHub Repositories for Beta Vae

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

Easy generative modeling in PyTorch

Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as described in article "Self-Supervised Learning for Tool Wear Monitoring with a Disentangled-Variational-Autoencoder"

Official PyTorch implementation on ID-GAN: High-Fidelity Synthesis with Disentangled Representation by Lee et al., 2020.

Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).

Disentangling the latent space of a VAE.

Using Beta VAE to test on faces of animal