tbepler / spatial-VAELinks
Source code for "Explicitly disentangling image content from translation and rotation with spatial-VAE" - NeurIPS 2019
☆65Updated 5 years ago
Alternatives and similar repositories for spatial-VAE
Users that are interested in spatial-VAE are comparing it to the libraries listed below
Sorting:
- This code accompanies "Differentiable probabilistic models of scientific imaging with the Fourier slice theorem", UAI 2019☆37Updated 6 years ago
- VAEs with Lie Group latent space☆99Updated 3 years ago
- Euclidean Neural Networks☆197Updated 4 years ago
- ☆122Updated 2 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
- Energy-based models for atomic-resolution protein conformations☆98Updated 3 years ago
- CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuou…☆50Updated 3 years ago
- Code for the paper "Disentangling images with Lie group transformations and sparse coding" (2023). https://proceedings.mlr.press/v197/cha…☆13Updated 4 years ago
- PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models☆152Updated 5 years ago
- ☆43Updated last year
- ☆158Updated 5 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆92Updated 4 years ago
- Group Equivariant Convolutional Neural Networks☆100Updated 7 years ago
- ☆70Updated 2 years ago
- Gaussian Process Prior Variational Autoencoder☆84Updated 6 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 2 years ago
- Nonlinear Independent Components Estimation (Dinh et al, 2014) in PyTorch.☆117Updated 6 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated 11 months ago
- Implementation of Invariant Point Attention, used for coordinate refinement in the structure module of Alphafold2, as a standalone Pytorc…☆163Updated 2 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆119Updated 2 years ago
- Convolutional variational autoencoder in PyTorch☆46Updated 7 years ago
- ☆270Updated 2 years ago
- Experiments with Group Equivariant Convolutions in PyTorch☆117Updated 2 years ago
- A denoising diffusion probabilistic model (DDPM) tailored for conditional generation of protein distograms☆140Updated 3 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- Tensorflow implementation of Spatial VAE via Matrix-Variate Normal Distributions☆14Updated 8 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆56Updated 3 years ago
- ☆68Updated 2 years ago
- Statistics on the space of asymmetric networks via Gromov-Wasserstein distance☆13Updated 5 years ago
- Lie Algebra Convolutional Network implementation☆43Updated 3 years ago