mariogeiger / se3cnnLinks
Euclidean Neural Networks
☆198Updated 4 years ago
Alternatives and similar repositories for se3cnn
Users that are interested in se3cnn are comparing it to the libraries listed below
Sorting:
- ☆160Updated 5 years ago
- Computations involving Lie groups and harmonic analysis☆204Updated 6 months ago
- code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503☆538Updated 2 years ago
- ☆274Updated 2 years ago
- ☆70Updated 2 years ago
- VAEs with Lie Group latent space☆99Updated 3 years ago
- Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration wit…☆296Updated 2 years ago
- This code accompanies "Differentiable probabilistic models of scientific imaging with the Fourier slice theorem", UAI 2019☆37Updated 6 years ago
- Group Equivariant Convolutional Neural Networks☆102Updated 7 years ago
- Lie Algebra Convolutional Network implementation☆43Updated 3 years ago
- Demo code for the paper "Learning SO(3) Equivariant Representations with Spherical CNNs"☆297Updated 3 years ago
- Source code for "Explicitly disentangling image content from translation and rotation with spatial-VAE" - NeurIPS 2019☆65Updated 5 years ago
- E(3) Steerable Graph Neural Network☆122Updated 2 years ago
- Group Equivariant Convolutional Neural Networks☆363Updated 4 years ago
- A modular framework for neural networks with Euclidean symmetry☆1,137Updated 3 months ago
- A library for programmatically generating equivariant layers through constraint solving☆272Updated 2 years ago
- repository and website for tutorials on 3d Euclidean equivariant neural networks☆73Updated 4 years ago
- Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch☆487Updated 8 months ago
- Implementation of the Spline-Based Convolution Operator of SplineCNN in PyTorch☆181Updated 2 weeks ago
- ☆59Updated 3 years ago
- A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks☆134Updated 3 years ago
- Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups☆52Updated 3 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☆99Updated 3 years ago
- Codebase for Cormorant Neural Networks☆60Updated 3 years ago
- ☆89Updated 3 years ago
- ☆62Updated 2 years ago
- Spherical CNNs on Unstructured Grids Using Parameterized Differential Operators☆168Updated last year
- Implementation of E(n)-Transformer, which incorporates attention mechanisms into Welling's E(n)-Equivariant Graph Neural Network☆226Updated last year
- ☆34Updated 3 years ago