adambielski / pytorch-gconv-experimentsView external linksLinks
Experiments with Group Equivariant Convolutions in PyTorch
☆117Dec 13, 2022Updated 3 years ago
Alternatives and similar repositories for pytorch-gconv-experiments
Users that are interested in pytorch-gconv-experiments are comparing it to the libraries listed below
Sorting:
- Group Equivariant Convolutional Neural Networks☆369Apr 2, 2021Updated 4 years ago
- Code repository for the paper "Attentive Group Equivariant Convolutional Neural Networks" published at ICML 2020. https://arxiv.org/abs/2…☆53Jul 7, 2020Updated 5 years ago
- E(2)-Equivariant CNNs Library for Pytorch☆671Oct 17, 2023Updated 2 years ago
- Sample pytorch implementation of Covariant Compositional Networks☆13Feb 17, 2018Updated 7 years ago
- Roto-reflection equivariant CNNs for Keras as presented in B. S. Veeling, J. Linmans, J. Winkens, T. Cohen, M. Welling. "Rotation Equivar…☆86Dec 26, 2019Updated 6 years ago
- Deep Translation and Rotation Equivariance☆267Apr 12, 2019Updated 6 years ago
- Euclidean Neural Networks☆203Dec 19, 2020Updated 5 years ago
- Pytorch package for geometric softmax☆12Jun 13, 2019Updated 6 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
- Spherical CNNs☆969Nov 11, 2024Updated last year
- Experiments with self-supervised learning☆11Mar 9, 2020Updated 5 years ago
- PyTorch Codes for Haar Graph Pooling☆11Feb 16, 2023Updated 2 years ago
- Embedding graphs in symmetric spaces☆30Sep 30, 2021Updated 4 years ago
- Dense Steerable Filter CNN☆77Nov 21, 2022Updated 3 years ago
- Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/☆499Oct 31, 2024Updated last year
- Efficient, Simple, and Automated Negative Sampling for Knowledge Graph Embedding. VLDBJ 2020.☆12Nov 9, 2020Updated 5 years ago
- ICLR 2021 (spotlight): Graph Convolution with Low-rank Learnable Local Filters☆16Jan 14, 2021Updated 5 years ago
- Expressive diffeomorphic transformations based on the closed-form integration of continuous piecewise affine velocity functions.☆16Aug 9, 2023Updated 2 years ago
- Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/☆32Jun 28, 2023Updated 2 years ago
- Pytorch implementation of Group Equivariant Capsule Networks☆29Jan 10, 2019Updated 7 years ago
- This is the repo for the work "Talking with your hands: Scaling hand gestures and recognition with cnns".☆13Apr 30, 2022Updated 3 years ago
- Odds and Ends and Things I've implemented.☆78Jan 31, 2019Updated 7 years ago
- Deep Emotion Analysis with Elastic and PyTorch☆16Nov 12, 2018Updated 7 years ago
- Demo source code for the paper "Equivariant Multi-View Networks".☆57Feb 15, 2023Updated 2 years ago
- (unofficial) - customized fork of DETR, optimized for intelligent obj detection on 'real world' custom datasets☆12Aug 22, 2020Updated 5 years ago
- Lie Algebra Convolutional Network implementation☆43Dec 7, 2021Updated 4 years ago
- Riemannian Convex Potential Maps☆67Mar 31, 2023Updated 2 years ago
- A PyTorch implementation of the Exclusive Cross Entropy Loss.☆20Aug 12, 2022Updated 3 years ago
- ☆15Oct 8, 2020Updated 5 years ago
- https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection/☆19Oct 20, 2019Updated 6 years ago
- Here is an implementation of DeepLabv3+ in PyTorch(1.7). It supports many backbones and datasets.☆17Nov 14, 2022Updated 3 years ago
- A library for programmatically generating equivariant layers through constraint solving☆281May 8, 2023Updated 2 years ago
- Official PyTorch implementation of "Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data" (NeurIPS'23)☆15Dec 4, 2023Updated 2 years ago
- Public code for LOA☆19Oct 5, 2022Updated 3 years ago
- [NeurIPS 2021] code for "Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representation…☆17Oct 20, 2022Updated 3 years ago
- ☆23Jul 4, 2022Updated 3 years ago
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆21Mar 3, 2020Updated 5 years ago
- Config files for my GitHub profile.☆24Mar 23, 2025Updated 10 months ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆130Oct 3, 2023Updated 2 years ago