mfinzi / LieConv
☆269Updated last year
Alternatives and similar repositories for LieConv:
Users that are interested in LieConv are comparing it to the libraries listed below
- A library for programmatically generating equivariant layers through constraint solving☆266Updated last year
- Computations involving Lie groups and harmonic analysis☆197Updated 2 months ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆117Updated last year
- Manifold-learning flows (ℳ-flows)☆228Updated 4 years ago
- Group Equivariant Convolutional Neural Networks☆100Updated 7 years ago
- Lie Algebra Convolutional Network implementation☆43Updated 3 years ago
- Algorithms for computations on random manifolds made easier☆90Updated last year
- VAEs with Lie Group latent space☆98Updated 3 years ago
- ☆157Updated 5 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- LieTransformer: Equivariant Self-Attention for Lie Groups☆69Updated 8 months ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆287Updated 4 years ago
- Differentiable and numerically stable implementation of the matrix exponential☆33Updated 4 years ago
- A manifold optimization library for deep learning☆244Updated 3 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 3 years ago
- Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups☆52Updated 2 years ago
- Euclidean Neural Networks☆192Updated 4 years ago
- This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…☆72Updated last year
- B-Spline CNNs on Lie groups☆53Updated 5 years ago
- Code for Neural Spline Flows paper☆267Updated 4 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆178Updated 3 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆169Updated 3 years ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆306Updated last month
- Implementation and tutorials of normalizing flows with the novel distributions module☆166Updated 4 years ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆185Updated 4 months ago
- Experiments with Group Equivariant Convolutions in PyTorch☆114Updated 2 years ago
- ☆214Updated 3 years ago
- ☆122Updated 2 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆138Updated 4 years ago
- Code used by the "Clifford Group Equivariant Neural Networks" paper.☆80Updated 10 months ago