Schlumberger / joint-vaeLinks
Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation
☆470Updated 6 years ago
Alternatives and similar repositories for joint-vae
Users that are interested in joint-vae are comparing it to the libraries listed below
Sorting:
- PyTorch implementations of algorithms for density estimation☆585Updated 4 years ago
- Replicating "Understanding disentangling in β-VAE"☆200Updated 7 years ago
- A curated list of research papers related to learning disentangled representations☆465Updated 6 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆351Updated 3 years ago
- ☆238Updated 6 years ago
- Pytorch Implementation of OpenAI's PixelCNN++☆349Updated 4 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆244Updated 7 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆233Updated 7 years ago
- Implementation of VLAE☆214Updated 8 years ago
- Pytorch implementation of Hyperspherical Variational Auto-Encoders☆384Updated 5 years ago
- PyTorch implementation of Wasserstein Auto-Encoders☆298Updated 5 years ago
- i-RevNet Pytorch Code☆396Updated 4 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆142Updated 5 years ago
- Implementations of various VAE-based semi-supervised and generative models in PyTorch☆710Updated 5 years ago
- A PyTorch library for two-sample tests☆242Updated 2 months ago
- Dataset to assess the disentanglement properties of unsupervised learning methods☆526Updated 5 years ago
- ☆181Updated 6 years ago
- Wasserstein Auto-Encoders☆507Updated 7 years ago
- VQ-VAE implementation / pytorch☆184Updated 8 years ago
- Simple, extendable, easy to understand Glow implementation in PyTorch☆388Updated 3 years ago
- Tutorial on normalizing flows.☆299Updated 8 years ago
- Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)☆283Updated 7 years ago
- Code for Implicit Generation and Generalization with Energy Based Models☆362Updated 2 years ago
- Disentanglement library for PyTorch☆283Updated 3 years ago
- ☆110Updated 8 years ago
- ☆91Updated 6 years ago
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆216Updated 5 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆362Updated 6 years ago
- Pytorch implementation of β-VAE☆566Updated 5 years ago
- MADE (Masked Autoencoder Density Estimation) implementation in PyTorch☆587Updated 7 years ago