Alternatives and similar repositories for generative-scattering-networks

Users that are interested in generative-scattering-networks are comparing it to the libraries listed below

• el3ment / spectral_representations_for_convolutional_neural_networks
  ☆41Updated 9 years ago
• williamFalcon / pytorch-complex-tensor
  Unofficial complex tensor and scalar support for Pytorch
  ☆80Updated 2 years ago
• oracleofnj / spectral-repr-cnns
  Implementation of Rippel, Snoek, and Adams 2015 (https://arxiv.org/pdf/1506.03767.pdf)
  ☆38Updated 6 years ago
• edouardoyallon / scalingscattering
  ☆82Updated 8 years ago
• aditya-grover / uae
  Uncertainty Autoencoders, AISTATS 2019
  ☆56Updated 6 years ago
• tfrerix / proxprop
  Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps
  ☆42Updated 6 years ago
• bwohlberg / sporco-cuda
  CUDA extension for the SPORCO project
  ☆18Updated 4 years ago
• pbrakel / anica
  Adversarial Non-linear Independent Component Analysis
  ☆50Updated 8 years ago
• ehoogeboom / emerging
  ☆42Updated 6 years ago
• robintibor / generative-reversible
  ☆32Updated 7 years ago
• ispamm / kernel-activation-functions
  Several implementations of the kernel-based activation functions
  ☆63Updated 6 years ago
• naturomics / DLF
  Code for reproducing results in "Generative Model with Dynamic Linear Flow"
  ☆71Updated 6 years ago
• google / wasserstein-dist
  tensorflow implementation of the Wasserstein (aka optimal transport) distance
  ☆72Updated 4 years ago
• HaberGroup / SemiImplicitDNNs
  Pytorch implementation of 'Semi-Implicit Methods for Deep Neural Networks'
  ☆25Updated 6 years ago
• oval-group / ali-g
  Implementation of the ALI-G algorithm (PyTorch, Tensorflow)
  ☆22Updated 4 years ago
• wittawatj / cadgan
  ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.
  ☆22Updated last year
• zayd / sparsenet
  Sparse dictionary learning
  ☆30Updated 11 years ago
• skolouri / swae
  Implementation of the Sliced Wasserstein Autoencoders
  ☆91Updated 7 years ago
• LuisArmandoPerez / DiffusionVAE
  ☆29Updated 4 years ago
• Orcuslc / OrthNet
  TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials
  ☆31Updated 7 years ago
• moskomule / shampoo.pytorch
  An implementation of shampoo
  ☆77Updated 7 years ago
• ermongroup / sparse_gen
  Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018
  ☆24Updated 7 years ago
• ShangyuanTong / PairGAN
  ☆22Updated 5 years ago
• lxuechen / BDMC
  PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.
  ☆52Updated 4 years ago
• openai / ot-gan
  Code for the paper "Improving GANs Using Optimal Transport"
  ☆74Updated 6 years ago
• speechmatics / hqa
  Code to accompany the paper "Hierarchical Quantized Autoencoders"
  ☆37Updated 2 years ago
• CW-Huang / naf_examples
  examples of Neural Autoregressive Flows
  ☆13Updated 7 years ago
• rick-chang / OneNet
  One Network to Solve Them All
  ☆84Updated 7 years ago
• eitanrich / gans-n-gmms
  Official implementation of "On GANs and GMMs"
  ☆67Updated 6 years ago
• veugene / spectre_release
  Analyzing deviation from orthogonality in RNNs
  ☆16Updated 8 years ago