tbepler / spatial-VAE
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
- This code accompanies "Differentiable probabilistic models of scientific imaging with the Fourier slice theorem", UAI 2019☆37Updated 5 years ago
- VAEs with Lie Group latent space☆97Updated 3 years ago
- ☆42Updated last year
- Energy-based models for atomic-resolution protein conformations☆97Updated 3 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…☆89Updated 5 years ago
- Euclidean Neural Networks☆192Updated 4 years ago
- ☆28Updated 4 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆60Updated last year
- Learning to recover orientations from projections in single-particle cryo-EM☆15Updated 3 years ago
- Code for the paper "Disentangling images with Lie group transformations and sparse coding" (2023). https://proceedings.mlr.press/v197/cha…☆13Updated 3 years ago
- CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuou…☆48Updated 3 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆33Updated 4 years ago
- Implementation of Invariant Point Attention, used for coordinate refinement in the structure module of Alphafold2, as a standalone Pytorc…☆161Updated 2 years ago
- Gaussian Process Prior Variational Autoencoder☆83Updated 6 years ago
- PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models☆149Updated 5 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆117Updated last year
- Tensorflow implementation of Spatial VAE via Matrix-Variate Normal Distributions☆14Updated 7 years ago
- PyTorch implementation of Algorithm 1 of "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"☆38Updated 8 months ago
- Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch☆90Updated 4 years ago
- Learning protein structure with a differentiable simulator☆27Updated 5 years ago
- Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pyt…☆72Updated 3 years ago
- PyTorch library of layers acting on protein representations☆117Updated 9 months ago
- ☆69Updated 2 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆53Updated 2 years ago
- Nonlinear Independent Components Estimation (Dinh et al, 2014) in PyTorch.☆117Updated 6 years ago
- ☆38Updated 4 years ago
- ☆157Updated 5 years ago
- ☆15Updated 3 years ago
- Amortized inference for ab initio heterogeneous cryo-EM reconstruction☆36Updated last year