Alternatives and similar repositories for spectral_representations_for_convolutional_neural_networks:

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

• tfrerix / proxprop
  Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps
  ☆42Updated 6 years ago
• edouardoyallon / scalingscattering
  ☆81Updated 7 years ago
• oracleofnj / spectral-repr-cnns
  Implementation of Rippel, Snoek, and Adams 2015 (https://arxiv.org/pdf/1506.03767.pdf)
  ☆38Updated 6 years ago
• clementfarabet / lua---mattorch
  An interface between Torch and Matlab
  ☆30Updated 9 years ago
• bioinf-jku / coulomb_gan
  Implementation of Coulomb GANs
  ☆62Updated 3 years ago
• jhjacobsen / HierarchicalCNN
  ☆29Updated 7 years ago
• lrjconan / deep_parsimonious
  Learning Deep Parsimonious Representations, Deep Learning, Clustering, NIPS 2016
  ☆14Updated 5 years ago
• tomas-angles / generative-scattering-networks
  ☆28Updated 5 years ago
• jotaf98 / curveball
  Second-order optimiser for deep networks
  ☆76Updated 6 years ago
• anibali / infogan
  An unofficial Torch implementation of InfoGAN
  ☆19Updated 7 years ago
• edouardoyallon / scatwave
  ScatWave is a Torch implementation of scattering using CUDA
  ☆21Updated 7 years ago
• lballes / msvag
  TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.
  ☆44Updated 6 years ago
• gngdb / variational-dropout
  Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.
  ☆33Updated 7 years ago
• edouardoyallon / ScatNetLight
  ScatNetLight for fast classifications of signals via Scattering Networks
  ☆15Updated 7 years ago
• YingzhenLi / Dropout_BBalpha
  Implementations of the ICML 2017 paper (with Yarin Gal)
  ☆38Updated 7 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
• masabdi / multi-resnet
  Multi-Residual Networks
  ☆23Updated 8 years ago
• Orcuslc / OrthNet
  TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials
  ☆31Updated 6 years ago
• ml-lab / auxiliary-deep-generative-models
  Implementation of auxiliary deep generative models for semi-supervised learning
  ☆28Updated 9 years ago
• jhjacobsen / RFNN
  Structured Receptive Fields in Convolutional Neural Networks
  ☆47Updated 7 years ago
• ehoogeboom / emerging
  ☆42Updated 5 years ago
• RuiShu / tensorbayes
  Deep variational inference in tensorflow
  ☆56Updated 6 years ago
• divelab / dtn
  ☆57Updated 7 years ago
• necludov / group-sparsity-sbp
  Structured Bayesian Pruning, NIPS 2017
  ☆73Updated 4 years ago
• alykhantejani / siamese_network
  A Siamese network implementation in torch (simple example on MNIST to embed to 2D space)
  ☆23Updated 9 years ago
• jaanli / proximity_vi
  This code accompanies the proximity variational inference paper.
  ☆18Updated 6 years ago
• drasmuss / hessianfree
  Hessian-free optimization for deep networks
  ☆60Updated 7 years ago
• Jiaming-Liu / pytorch-lr-scheduler
  Bring some LR schedulers from Keras to PyTorch.
  ☆36Updated 7 years ago
• paruby / Wasserstein-Auto-Encoders
  Contains code relating to this arxiv paper https://arxiv.org/abs/1802.03761
  ☆37Updated 7 years ago
• slundqui / TFSparseCode
  TensorFlow implementation for Sparse Coding
  ☆29Updated 5 years ago