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:
- ☆159Updated 5 years ago
- Computations involving Lie groups and harmonic analysis☆204Updated 5 months ago
- code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503☆533Updated 2 years ago
- ☆274Updated 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…☆294Updated 2 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
- ☆70Updated 2 years ago
- A library for programmatically generating equivariant layers through constraint solving☆270Updated 2 years ago
- Implementation of the Spline-Based Convolution Operator of SplineCNN in PyTorch☆181Updated 2 months ago
- Group Equivariant Convolutional Neural Networks☆100Updated 7 years ago
- This code accompanies "Differentiable probabilistic models of scientific imaging with the Fourier slice theorem", UAI 2019☆37Updated 6 years ago
- Source code for "Explicitly disentangling image content from translation and rotation with spatial-VAE" - NeurIPS 2019☆65Updated 5 years ago
- Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch☆486Updated 8 months ago
- A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks☆133Updated 3 years ago
- A modular framework for neural networks with Euclidean symmetry☆1,129Updated 3 months ago
- Spherical CNNs on Unstructured Grids Using Parameterized Differential Operators☆168Updated last year
- E(3) Steerable Graph Neural Network☆119Updated 2 years ago
- Energy-based models for atomic-resolution protein conformations☆99Updated 3 years ago
- Group Equivariant Convolutional Neural Networks☆363Updated 4 years ago
- repository and website for tutorials on 3d Euclidean equivariant neural networks☆72Updated 4 years ago
- Code for Boomsma W, Frellsen J (2017) Spherical convolutions and their application in molecular modelling. Advances in Neural Information…☆24Updated 7 years ago
- ☆60Updated 3 years ago
- Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups☆52Updated 3 years ago
- Molecular AutoEncoder in PyTorch☆90Updated 5 years ago
- Pytorch differentiable molecular dynamics☆178Updated 2 years ago
- PyTorch library of layers acting on protein representations☆119Updated last year
- ATOM3D: tasks on molecules in three dimensions☆311Updated 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