arnab39 / equiadapt
Library to make any existing neural network architecture equivariant
☆51Updated 3 months ago
Alternatives and similar repositories for equiadapt:
Users that are interested in equiadapt are comparing it to the libraries listed below
- Code repository of the paper "Clifford-Steerable Convolutional Neural Networks"☆46Updated 6 months ago
- Official repository of Implicit Neural Convolutional Kernels for Steerable CNNs, Zhdanov et al.☆28Updated 11 months ago
- Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space.☆80Updated 8 months ago
- This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…☆72Updated last year
- ☆146Updated 2 years ago
- 3D Gaussian Splatting in JAX☆55Updated 8 months ago
- A minimal implementation of Equivariant Neural Fields (https://arxiv.org/abs/2406.05753).☆21Updated 2 weeks ago
- 🚀 A powerful library for efficient training of Neural Fields at scale.☆28Updated last year
- ☆27Updated last month
- Code for the paper: Rotating Features for Object Discovery☆50Updated 6 months ago
- Neural Optimal Transport with Lagrangian Costs☆52Updated 7 months ago
- Lie Algebra Convolutional Network implementation☆42Updated 3 years ago
- Exact method for visualizing partitions of a Deep Neural Network, CVPR 2023 Highlight☆96Updated last week
- ☆11Updated last year
- Visualizations of the theory behind diffusion models.☆78Updated 10 months ago
- Code used by the "Clifford Group Equivariant Neural Networks" paper.☆79Updated 8 months ago
- Simple code for generating a color-coded latex table from raw data☆190Updated last year
- Code for "Manifold Diffusion Geometry: Curvature, Tangent Spaces, and Dimension"☆40Updated 3 months ago
- TopoBenchmark is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning☆104Updated this week
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆49Updated 6 months ago
- Flow-matching algorithms in JAX☆83Updated 6 months ago
- [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch☆29Updated 10 months ago
- Official repository of "Spontaneous symmetry breaking in generative diffusion models"☆42Updated 8 months ago
- code for "Riemannian Flow Matching on General Geometries".☆200Updated 11 months ago
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆70Updated 2 years ago
- Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/☆29Updated last year
- ☆154Updated 6 months ago
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆77Updated 6 months ago
- Free-form flows are a generative model training a pair of neural networks via maximum likelihood☆38Updated 3 weeks ago
- ☆27Updated 6 months ago