Alternatives and similar repositories for DeepQuaternionNetworks:

Users that are interested in DeepQuaternionNetworks are comparing it to the libraries listed below

• Orkis-Research / Pytorch-Quaternion-Neural-Networks
  This repository is an update to all previous repositories with implementations of various Quaternion-valued Neural Networks in PyTorch
  ☆208Updated 5 years ago
• XYZ387 / QuaternionCNN_Keras
  Implementation of Quaternion Convolutional Neural Networks
  ☆30Updated 6 years ago
• Orkis-Research / Quaternion-Recurrent-Neural-Networks
  This is the code for the paper 'Quaternion Recurrent Neural Networks'.
  ☆58Updated 6 years ago
• tomas-angles / generative-scattering-networks
  ☆28Updated 5 years ago
• veugene / spectre_release
  Analyzing deviation from orthogonality in RNNs
  ☆16Updated 7 years ago
• bruno-31 / groupsc
  Code for the paper: Fully Trainable and Interpretable Non-Local Sparse Models for Image Restoration (ECCV 2020)
  ☆58Updated 4 years ago
• XiaoxiaSun / supervised-deep-sparse-coding-networks
  supervised deep sparse coding networks
  ☆31Updated 7 years ago
• ispamm / hTorch
  Repository dedicated to Quaternion Neural Networks
  ☆38Updated 3 years ago
• weilinear / PyRPCA
  Robust PCA in Python
  ☆36Updated 11 years ago
• zhiwu-huang / GrNet
  GitHub repository for "Building Deep Networks on Grassmann Manifolds", AAAI 2018.
  ☆25Updated 3 years ago
• aditya-grover / uae
  Uncertainty Autoencoders, AISTATS 2019
  ☆55Updated 5 years ago
• tomsercu / FisherGAN
  Code accompanying the paper Fisher GAN: https://arxiv.org/abs/1705.09675
  ☆23Updated 7 years ago
• claying / OTK
  A Pytorch implementation of the optimal transport kernel embedding
  ☆114Updated 4 years ago
• HaberGroup / SemiImplicitDNNs
  Pytorch implementation of 'Semi-Implicit Methods for Deep Neural Networks'
  ☆24Updated 5 years ago
• KyleGoyette / nnRNN
  ☆24Updated 5 years ago
• TolgaOk / Differentiable-Hard-Attention-Module
  A modified version of Spatial Transformer Networks to attend regions on the input image.
  ☆44Updated last year
• el3ment / spectral_representations_for_convolutional_neural_networks
  ☆41Updated 8 years ago
• cunningham-lab / igr
  ☆31Updated 4 years ago
• edouardoyallon / scalingscattering
  ☆81Updated 7 years ago
• harryliew / SdLBFGS
  ☆25Updated 6 years ago
• rick-chang / OneNet
  One Network to Solve Them All
  ☆84Updated 6 years ago
• forestagostinelli / Learned-Activation-Functions-Source
  For the reproduction of research by Agostinelli et al. Learning Activation Functions to Improve Deep Neural Networks. http://arxiv.org/ab…
  ☆19Updated 9 years ago
• ZezhouCheng / GP-DIP
  Code for A Bayesian Perspective on the Deep Image Prior (CVPR 2019)
  ☆60Updated 5 years ago
• williamFalcon / pytorch-complex-tensor
  Unofficial complex tensor and scalar support for Pytorch
  ☆79Updated 2 years ago
• doerlbh / UnsupervisedAttentionMechanism
  Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".
  ☆21Updated 3 years ago
• arnupretorius / lindaedynamics_icml2018
  Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)
  ☆12Updated 6 years ago
• lunz-s / DeepAdverserialRegulariser
  ☆17Updated 4 years ago
• ml-research / pau
  Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network
  ☆64Updated 3 years ago
• tfrerix / proxprop
  Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps
  ☆41Updated 5 years ago
• shivram1987 / diffGrad
  diffGrad: An Optimization Method for Convolutional Neural Networks
  ☆55Updated 2 years ago