AMLab-Amsterdam / lie_learnLinks
Computations involving Lie groups and harmonic analysis
☆206Updated 7 months ago
Alternatives and similar repositories for lie_learn
Users that are interested in lie_learn are comparing it to the libraries listed below
Sorting:
- Euclidean Neural Networks☆199Updated 4 years ago
- ☆274Updated 2 years ago
- ☆160Updated 5 years ago
- VAEs with Lie Group latent space☆99Updated 3 years ago
- ☆70Updated 2 years ago
- Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups☆52Updated 3 years ago
- Implementation of the Spline-Based Convolution Operator of SplineCNN in PyTorch☆182Updated last month
- 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
- Group Equivariant Convolutional Neural Networks☆102Updated 7 years ago
- A library for programmatically generating equivariant layers through constraint solving☆273Updated 2 years ago
- ☆62Updated 2 years ago
- Differentiable scientific computing library☆154Updated last year
- Spherical CNNs on Unstructured Grids Using Parameterized Differential Operators☆168Updated 2 years ago
- Group Equivariant Convolutional Neural Networks☆365Updated 4 years ago
- DeepSphere: a graph-based spherical CNN (PyTorch)☆162Updated 3 years ago
- code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503☆540Updated 2 years ago
- Preconditioned Conjugate Gradient in Pytorch☆140Updated last year
- This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…☆72Updated last year
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆120Updated 2 years ago
- ☆207Updated 7 months ago
- A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty.☆188Updated last year
- Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space.☆85Updated last year
- Demo source code for the paper "Spin-Weighted Spherical CNNs".☆23Updated 3 years ago
- A manifold optimization library for deep learning☆249Updated 4 years ago
- A 100x faster SVD for PyTorch⚡️☆477Updated 2 years ago
- ☆11Updated 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
- B-Spline CNNs on Lie groups☆55Updated 5 years ago
- Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…☆263Updated 2 years ago