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 9 years ago
• tomas-angles / generative-scattering-networks
  ☆28Updated 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 7 years ago
• ehoogeboom / hexaconv
  ☆64Updated 5 years ago
• tfrerix / proxprop
  Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps
  ☆42Updated 6 years ago
• edouardoyallon / scalingscattering
  ☆82Updated 7 years ago
• locuslab / pytorch_fft
  PyTorch wrapper for FFTs
  ☆316Updated 6 years ago
• edouardoyallon / pyscatwave
  Fast Scattering Transform with CuPy/PyTorch
  ☆296Updated 5 years ago
• bwohlberg / sporco
  Sparse Optimisation Research Code
  ☆270Updated 7 months ago
• image-science-lab / OneNet
  ☆33Updated 6 years ago
• convnets-as-gps / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆16Updated 6 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'
  ☆25Updated 6 years ago
• rick-chang / OneNet
  One Network to Solve Them All
  ☆84Updated 6 years ago
• RobRomijnders / bayes_nn
  Uncertainty interpretations of the neural network
  ☆32Updated 7 years ago
• AshishBora / ambient-gan
  Code to reproduce results from the paper "AmbientGAN: Generative models from lossy measurements"
  ☆89Updated 7 years ago
• kekeblom / DeepCGP
  Deep convolutional gaussian processes.
  ☆80Updated 5 years ago
• KarenUllrich / Tutorial_BayesianCompressionForDL
  A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).
  ☆206Updated 6 years ago
• google / wasserstein-dist
  tensorflow implementation of the Wasserstein (aka optimal transport) distance
  ☆72Updated 4 years ago
• jzbontar / pixelcnn-pytorch
  ☆123Updated 5 years ago
• vincentherrmann / wasserstein-notebook
  Wasserstein / earth mover's distance visualizations
  ☆66Updated 8 years ago
• loshchil / SGDR
  ☆253Updated 8 years ago
• ispamm / kernel-activation-functions
  Several implementations of the kernel-based activation functions
  ☆62Updated 6 years ago
• jayanthkoushik / torch-gel
  Group elastic net implementation in PyTorch.
  ☆45Updated 4 years ago
• sniklaus / pytorch-extension
  an example of a CUDA extension for PyTorch using CuPy which computes the Hadamard product of two tensors
  ☆118Updated 3 months ago
• aditya-grover / uae
  Uncertainty Autoencoders, AISTATS 2019
  ☆55Updated 6 years ago
• williamFalcon / pytorch-complex-tensor
  Unofficial complex tensor and scalar support for Pytorch
  ☆80Updated 2 years ago
• brain-research / conv-sv
  The Singular Values of Convolutional Layers
  ☆72Updated 6 years ago
• JSeam2 / Neural-Ordinary-Differential-Equations
  Sample implementation of Neural Ordinary Differential Equations
  ☆263Updated 6 years ago
• SkafteNicki / libcpab
  CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuou…
  ☆50Updated 4 years ago