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☆102Updated 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☆365Updated 4 years ago
- ☆68Updated 6 years ago
- Code for "Scale-Equivariant Steerable Networks"☆71Updated 5 years ago
- [NeurIPS'20] Multiscale Deep Equilibrium Models☆234Updated 4 years ago
- Code repository for the paper "Attentive Group Equivariant Convolutional Neural Networks" published at ICML 2020. https://arxiv.org/abs/2…☆52Updated 5 years ago
- CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuou…☆50Updated 4 years ago
- Code for Scalable Uncertainty for Computer Vision with Functional Variational Inference @ CVPR 2020☆68Updated 5 years ago
- PyTorch Framework for Developing Memory Efficient Deep Invertible Networks☆255Updated 2 years ago
- Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.☆133Updated 5 years ago
- Code for the ICCV 2019 paper "Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation"☆94Updated last year
- Deep Isometric Learning for Visual Recognition (ICML 2020)☆144Updated 3 years ago
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆79Updated 2 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
- Experiments with Group Equivariant Convolutional Networks☆120Updated 6 years ago
- Pytorch implementation of "An intriguing failing of convolutional neural networks and the CoordConv solution" - https://arxiv.org/abs/180…☆154Updated last year
- Backpropagation-Friendly-Eigendecomposition☆73Updated 5 years ago
- Official implementation of "Energy-Based Models for Deep Probabilistic Regression" (ECCV 2020) and "How to Train Your Energy-Based Model …☆104Updated 5 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆92Updated 4 years ago
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆128Updated last year
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆58Updated 3 years ago
- [NeurIPS 2019] Deep Set Prediction Networks☆100Updated 4 years ago
- Computing topological cavities of deep neural networks☆68Updated 5 years ago
- ☆53Updated 7 years ago
- Implementation of the reversible residual network in pytorch☆105Updated 3 years ago
- ☆274Updated 2 years ago
- Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands☆111Updated 5 years ago
- Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm☆444Updated 7 years ago
- Demo source code for the paper "Esteves, C., Allen-Blanchette, C., Zhou, X. and Daniilidis, K, "Polar Transformer Networks", ICLR 2018.☆56Updated 2 years ago