Alternatives and similar repositories for spectral-repr-cnns:

Users that are interested in spectral-repr-cnns are comparing it to the libraries listed below

• el3ment / spectral_representations_for_convolutional_neural_networks
  ☆41Updated 8 years ago
• RobRomijnders / bayes_nn
  Uncertainty interpretations of the neural network
  ☆32Updated 6 years ago
• AshishBora / ambient-gan
  Code to reproduce results from the paper "AmbientGAN: Generative models from lossy measurements"
  ☆90Updated 7 years ago
• image-science-lab / OneNet
  ☆33Updated 6 years ago
• ZezhouCheng / GP-DIP
  Code for A Bayesian Perspective on the Deep Image Prior (CVPR 2019)
  ☆60Updated 5 years ago
• tomas-angles / generative-scattering-networks
  ☆28Updated 5 years ago
• YingzhenLi / Dropout_BBalpha
  Implementations of the ICML 2017 paper (with Yarin Gal)
  ☆38Updated 7 years ago
• HaberGroup / SemiImplicitDNNs
  Pytorch implementation of 'Semi-Implicit Methods for Deep Neural Networks'
  ☆24Updated 5 years ago
• SkafteNicki / ddtn
  Repository for our upcoming code, that we used for our "Deep diffeomorphic transformer networks" paper (Accepted to CVPR 2018). Will be u…
  ☆50Updated 6 years ago
• tfrerix / proxprop
  Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps
  ☆42Updated 6 years ago
• robintibor / generative-reversible
  ☆32Updated 6 years ago
• aditya-grover / uae
  Uncertainty Autoencoders, AISTATS 2019
  ☆55Updated 6 years ago
• rick-chang / OneNet
  One Network to Solve Them All
  ☆84Updated 6 years ago
• hvy / chainer-gan-denoising-feature-matching
  Chainer implementation of Improving Generative Adversarial Networks with Denoising Feature Matching
  ☆29Updated 7 years ago
• SamsungLabs / deep-weight-prior
  The Deep Weight Prior, ICLR 2019
  ☆44Updated 3 years ago
• jzbontar / pixelcnn-pytorch
  ☆122Updated 5 years ago
• williamFalcon / pytorch-complex-tensor
  Unofficial complex tensor and scalar support for Pytorch
  ☆79Updated 2 years ago
• mynkpl1998 / Deep-Learning-Optimization-Algorithms
  Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.
  ☆57Updated 6 years ago
• locuslab / pytorch_fft
  PyTorch wrapper for FFTs
  ☆316Updated 6 years ago
• edouardoyallon / scalingscattering
  ☆81Updated 7 years ago
• HapeMask / crfrnn_layer
  A Lasagne layer (and supporting Theano Ops) for the CRF-as-RNN layer.
  ☆49Updated 4 years ago
• distillpub / post--deconv-checkerboard
  Deconvolution and Checkerboard Artifacts
  ☆72Updated 6 years ago
• ermongroup / sparse_gen
  Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018
  ☆24Updated 6 years ago
• bwohlberg / sporco-notebooks
  Jupyter notebook usage examples for the SPORCO project
  ☆19Updated 3 years ago
• fjxmlzn / PacGAN
  [NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks
  ☆81Updated 4 years ago
• cambridge-mlg / cnn-gp
  Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…
  ☆32Updated 5 years ago
• bgavran / Improved_WGAN
  Implementation of the "Improved Training of Wasserstein GANs" paper in TensorFlow
  ☆18Updated 6 years ago
• lanpa / tensorboard-pytorch-examples
  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
  ☆83Updated 6 years ago
• convnets-as-gps / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆16Updated 5 years ago
• reinhardh / supplement_deep_decoder
  ☆97Updated 6 years ago