pimdh / lie-vaeLinks
VAEs with Lie Group latent space
☆99Updated 3 years ago
Alternatives and similar repositories for lie-vae
Users that are interested in lie-vae are comparing it to the libraries listed below
Sorting:
- Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups☆52Updated 2 years ago
- Source code for "Explicitly disentangling image content from translation and rotation with spatial-VAE" - NeurIPS 2019☆65Updated 5 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 2 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆118Updated last year
- ☆70Updated 2 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated 10 months ago
- ☆38Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Normalizing Flows in Jax☆108Updated 4 years ago
- Lie Algebra Convolutional Network implementation☆44Updated 3 years ago
- This code accompanies "Differentiable probabilistic models of scientific imaging with the Fourier slice theorem", UAI 2019☆37Updated 5 years ago
- ☆122Updated 2 years ago
- ☆22Updated 4 years ago
- ☆180Updated 5 years ago
- ☆42Updated 6 years ago
- Computations involving Lie groups and harmonic analysis☆203Updated 3 months ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 3 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- Experiments for the Neural Autoregressive Flows paper☆124Updated 3 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆178Updated 3 years ago
- Differentiable and numerically stable implementation of the matrix exponential☆33Updated 4 years ago
- ☆32Updated 6 years ago
- 3D Roto-translation equivariant convolutions☆54Updated 6 years ago
- code submission to NeurIPS2019☆13Updated last year
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆124Updated last year
- Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuo…☆91Updated 5 years ago
- ☆68Updated 2 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆165Updated 4 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆91Updated 7 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆138Updated 4 years ago