ParthaEth / Regularized_autoencoders-RAE-Links
☆124Updated 2 years ago
Alternatives and similar repositories for Regularized_autoencoders-RAE-
Users that are interested in Regularized_autoencoders-RAE- are comparing it to the libraries listed below
Sorting:
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated 2 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 2 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆128Updated 2 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆181Updated 4 years ago
- ☆91Updated 6 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆93Updated 4 years ago
- Gaussian Process Prior Variational Autoencoder☆85Updated 6 years ago
- VAEs with Lie Group latent space☆99Updated 3 years ago
- Variational Autoencoder with Arbitrary Conditioning☆81Updated 2 years ago
- ☆64Updated last year
- Pytorch implementation of the Power Spherical distribution☆74Updated last year
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆141Updated 4 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆168Updated 5 years ago
- ☆33Updated 6 years ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆65Updated 4 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆102Updated 7 years ago
- PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models☆154Updated 6 years ago
- ☆181Updated 6 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆92Updated 5 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- ☆238Updated 6 years ago
- Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"☆80Updated 3 years ago
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 6 years ago
- Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuo…☆92Updated 6 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆78Updated 4 years ago
- [NeurIPS 2019] Deep Set Prediction Networks☆101Updated 5 years ago
- ☆54Updated last year
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆59Updated 4 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆57Updated 4 years ago