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A Collection of Variational Autoencoders (VAE) in PyTorch.
Created
2020-01-10
72 commits to master branch, last one 3 years ago
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
Created
2021-10-02
373 commits to main branch, last one 5 months ago
Experiments for understanding disentanglement in VAE latent representations
Created
2019-01-30
270 commits to master branch, last one about a year ago
Dataset to assess the disentanglement properties of unsupervised learning methods
Created
2017-05-09
3 commits to master branch, last one 7 years ago
Easy generative modeling in PyTorch
Created
2020-03-25
315 commits to master branch, last one about a year ago
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 Mo...
Created
2020-08-21
66 commits to master branch, last one 3 years ago