adambielski / pytorch-gconv-experimentsLinks
Experiments with Group Equivariant Convolutions in PyTorch
☆117Updated 2 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☆100Updated 7 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
- Group Equivariant Convolutional Neural Networks☆363Updated 4 years ago
- Code for "Scale-Equivariant Steerable Networks"☆70Updated 4 years ago
- [NeurIPS'20] Multiscale Deep Equilibrium Models☆234Updated 4 years ago
- ☆67Updated 6 years ago
- Code for Scalable Uncertainty for Computer Vision with Functional Variational Inference @ CVPR 2020☆68Updated 5 years ago
- Deep Isometric Learning for Visual Recognition (ICML 2020)☆143Updated 3 years ago
- Code for the ICCV 2019 paper "Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation"☆94Updated last year
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆79Updated 2 years ago
- Code repository for the paper "Attentive Group Equivariant Convolutional Neural Networks" published at ICML 2020. https://arxiv.org/abs/2…☆51Updated 5 years ago
- Pytorch implementation of Group Equivariant Capsule Networks☆29Updated 6 years ago
- Experiments with Group Equivariant Convolutional Networks☆120Updated 6 years ago
- CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuou…☆50Updated 3 years ago
- Backpropagation-Friendly-Eigendecomposition☆73Updated 5 years ago
- This Python package enables the training and inference of deep learning models for very large data, such as megapixel images, using atten…☆97Updated 5 years ago
- Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.☆132Updated 5 years ago
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆128Updated last year
- [NeurIPS 2019] Deep Set Prediction Networks☆100Updated 4 years ago
- Demo source code for the paper "Esteves, C., Allen-Blanchette, C., Zhou, X. and Daniilidis, K, "Polar Transformer Networks", ICLR 2018.☆55Updated 2 years ago
- ☆53Updated 7 years ago
- Non official pytorch implementation of i-Resnet, invertible residual networks.☆25Updated 3 years ago
- PyTorch Framework for Developing Memory Efficient Deep Invertible Networks☆255Updated 2 years ago
- A manifold optimization library for deep learning☆248Updated 3 years ago
- ☆274Updated 2 years ago
- Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)☆149Updated 2 years ago
- Repository for our paper: Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers☆88Updated 4 years ago
- Implementation of the reversible residual network in pytorch☆105Updated 3 years ago
- ☆123Updated 2 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆56Updated 3 years ago