☆38May 23, 2025Updated 10 months ago
Alternatives and similar repositories for LieGAN
Users that are interested in LieGAN are comparing it to the libraries listed below
Sorting:
- [ICLR 2021] Group Equivariant Generative Adversarial Networks.☆14May 6, 2021Updated 4 years ago
- Martingale posterior neural networks for fast sequential decision making @ Neurips 2025☆23Nov 13, 2025Updated 4 months ago
- Differentiable Euler Characteristic Transform☆17Jun 18, 2024Updated last year
- Source code accompanying the NeurIPS 2022 paper "Learning Partial Equivariances From Data"☆10Nov 18, 2022Updated 3 years ago
- Pytorch implementation of The ICML 2020 paper "On Learning Sets of Symmetric Elements" by Haggai Maron, Or Litany, Gal Chechik, Ethan Fet…☆10Apr 22, 2021Updated 4 years ago
- NeurIPS23 "Flow Factorized Representation Learning"☆43Dec 15, 2025Updated 3 months ago
- An implementation of "Subspace Representations for Soft Set Operations and Sentence Similarities" (NAACL 2024)☆10May 31, 2024Updated last year
- Experiment for General E(2)-Equivariant Steerable CNNs☆30Feb 26, 2021Updated 5 years ago
- ☆27Feb 9, 2023Updated 3 years ago
- [ICLR'25 Spotlight] Revisiting Random Walks for Learning on Graphs (RWNN), in PyTorch☆17Mar 4, 2025Updated last year
- [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch☆30Apr 13, 2024Updated last year
- ☆13Sep 21, 2022Updated 3 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆58Apr 11, 2021Updated 4 years ago
- This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…☆22Sep 5, 2024Updated last year
- Code for the papers: "Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training", Valvano et al., DART 2021; and "Re…☆10Jan 20, 2022Updated 4 years ago
- Official code for Generative Marginalization Models [ICML 2024] [SPGIM 2023 Workshop Oral]☆24Aug 19, 2024Updated last year
- Official repository for the paper: "Trees with Attention for Set Prediction Tasks" (ICML21)☆10Jan 19, 2022Updated 4 years ago
- ☆12Aug 19, 2025Updated 7 months ago
- PyTorch reimplementation of the DiracGAN proposed in the paper "Which Training Methods for GANs do actually Converge?" [ICML 2018].☆17Jul 12, 2021Updated 4 years ago
- [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch☆67Nov 28, 2022Updated 3 years ago
- ☆13Feb 16, 2021Updated 5 years ago
- ☆23Aug 15, 2023Updated 2 years ago
- ☆18Apr 8, 2024Updated last year
- ☆14Jul 17, 2023Updated 2 years ago
- Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.☆20Mar 15, 2025Updated last year
- Implementation of Implicit Graphon Neural Representation☆13Sep 1, 2023Updated 2 years ago
- ☆13Sep 8, 2021Updated 4 years ago
- Implementations of growing and pruning in neural networks☆22Jul 26, 2023Updated 2 years ago
- ☆19Jul 24, 2025Updated 7 months ago
- This is an official pytorch implementation of 'Group-wise Inhibition based Feature Regularization for Robust Classification' (ICCV 2021 a…☆10Dec 10, 2022Updated 3 years ago
- ☆11Dec 19, 2023Updated 2 years ago
- ☆17Mar 19, 2024Updated 2 years ago
- Structure-Aware Image Segmentation with Homotopy Warping☆12Sep 19, 2023Updated 2 years ago
- Group Equivariant Convolutional Neural Networks☆103Oct 1, 2017Updated 8 years ago
- [ECCV'24 Oral] Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild☆13Mar 13, 2025Updated last year
- Tools for building equivariant polynomials on reductive Lie groups.☆36Jun 29, 2023Updated 2 years ago
- A simple Graph Net in PyTorch☆24May 23, 2020Updated 5 years ago
- ☆13Oct 27, 2022Updated 3 years ago
- Continuous descriptor-based control for deep audio synthesis☆23Aug 4, 2023Updated 2 years ago