nicola-decao / s-vae-pytorch
Pytorch implementation of Hyperspherical Variational Auto-Encoders
☆363Updated 5 years ago
Alternatives and similar repositories for s-vae-pytorch
Users that are interested in s-vae-pytorch are comparing it to the libraries listed below
Sorting:
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆228Updated 7 years ago
- Tensorflow implementation of Hyperspherical Variational Auto-Encoders☆230Updated 6 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆349Updated 2 years ago
- PyTorch implementations of algorithms for density estimation☆583Updated 4 years ago
- ☆180Updated 5 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆288Updated 4 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆178Updated 3 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆138Updated 4 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆166Updated 4 years ago
- Disentanglement library for PyTorch☆276Updated 3 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆233Updated 6 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆464Updated 6 years ago
- ☆237Updated 5 years ago
- Code for Neural Spline Flows paper☆271Updated 4 years ago
- Implementation of Real NVP in PyTorch☆230Updated 5 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆270Updated last year
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆423Updated 2 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆278Updated last year
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆124Updated last year
- PyTorch implementation of Wasserstein Auto-Encoders☆295Updated 4 years ago
- ☆148Updated 3 years ago
- PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)☆184Updated 4 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 4 years ago
- Simple, extendable, easy to understand Glow implementation in PyTorch☆382Updated 2 years ago
- A PyTorch library for two-sample tests☆239Updated last year
- Pytorch implementation of Neural Processes for functions and images☆230Updated 3 years ago
- ☆91Updated 5 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- Code for reproducing Flow ++ experiments☆189Updated 6 years ago
- ☆193Updated 2 years ago