gaudetcj / DeepQuaternionNetworks
Code for Deep Quaternion Networks
☆55Updated 5 years ago
Alternatives and similar repositories for DeepQuaternionNetworks
Users that are interested in DeepQuaternionNetworks are comparing it to the libraries listed below
Sorting:
- This repository is an update to all previous repositories with implementations of various Quaternion-valued Neural Networks in PyTorch☆210Updated 5 years ago
- Implementation of Quaternion Convolutional Neural Networks☆31Updated 6 years ago
- This is the code for the paper 'Quaternion Recurrent Neural Networks'.☆58Updated 6 years ago
- diffGrad: An Optimization Method for Convolutional Neural Networks☆55Updated 2 years ago
- PyTorch code for our BMVC 2019 paper "Image Classification with Hierarchical Multigraph Networks"☆60Updated 4 years ago
- Repository dedicated to Quaternion Neural Networks☆38Updated 3 years ago
- The Deep Weight Prior, ICLR 2019☆45Updated 4 years ago
- 97.39% on CIFAR10 with PyTorch☆15Updated 6 years ago
- GitHub repository for "Building Deep Networks on Grassmann Manifolds", AAAI 2018.☆26Updated 3 years ago
- Analyzing deviation from orthogonality in RNNs☆16Updated 7 years ago
- A Pytorch implementation of the optimal transport kernel embedding☆116Updated 4 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆55Updated 3 years ago
- ☆81Updated 7 years ago
- supervised deep sparse coding networks☆31Updated 7 years ago
- Unofficial complex tensor and scalar support for Pytorch☆79Updated 2 years ago
- Pytorch implementation of Group Equivariant Capsule Networks☆29Updated 6 years ago
- Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network☆64Updated 4 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- ☆25Updated 6 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 3 years ago
- Optimization with orthogonal constraints and on general manifolds☆128Updated 4 years ago
- Training and evaluating self-supervised deep neural networks☆28Updated 7 years ago
- Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuo…☆90Updated 5 years ago
- ☆41Updated 8 years ago
- Slides and notebooks for the IfI Summer School 2018 on Machine Learning☆36Updated 6 years ago
- Experiments with Neural ODEs and Adversarial Attacks☆44Updated 6 years ago
- Group Equivariant Convolutional Neural Networks☆100Updated 7 years ago
- Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)☆12Updated 6 years ago
- This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…☆57Updated 5 years ago
- ☆25Updated 2 years ago