Alternatives and similar repositories for Transforming-Autoencoders

Users that are interested in Transforming-Autoencoders are comparing it to the libraries listed below

• Aysegul / torch-visbox
  visualizing what ConvNets learn with camera
  ☆89Updated 9 years ago
• MycChiu / fast-LayerNorm-TF
  Efficient layer normalization GPU kernel for Tensorflow
  ☆110Updated 8 years ago
• FlorianMuellerklein / Identity-Mapping-ResNet-Lasagne
  Reproduction of some of the results from 'Identity Mappings in Deep Residual Networks'
  ☆72Updated 9 years ago
• pranv / ARC
  Code for Attentive Recurrent Comparators
  ☆57Updated 8 years ago
• shreyassaxena / convolutional-neural-fabrics
  Architecture learning for CNN's
  ☆37Updated 8 years ago
• willwhitney / understanding-visual-concepts
  Unsupervised learning of visual concepts from video
  ☆56Updated 9 years ago
• dlaptev / TI-pooling
  TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks
  ☆119Updated 8 years ago
• bigaidream-projects / drmad
  DrMAD
  ☆107Updated 7 years ago
• jiwoongim / Generating-images-with-recurrent-adversarial-networks
  ☆121Updated 8 years ago
• kbullaughey / dni-synthetic-gradients
  Torch implementation reproducing MNIST experiments from DeepMind's DNI paper.
  ☆43Updated 8 years ago
• zergylord / oneshot
  ☆69Updated 8 years ago
• zhirongw / deep-mrf
  ☆76Updated 9 years ago
• panweihit / DropNeuron
  DropNeuron: Simplifying the Structure of Deep Neural Networks
  ☆59Updated 9 years ago
• jayanthkoushik / sgd-feedback
  ☆69Updated 6 years ago
• masabdi / multi-resnet
  Multi-Residual Networks
  ☆23Updated 8 years ago
• kimhc6028 / forward-thinking-pytorch
  Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"
  ☆65Updated 8 years ago
• beopst / dcn.tf
  Dynamic Capacity Networks using Tensorflow
  ☆52Updated 8 years ago
• gyglim / dvn
  Reference implementation for Structured Prediction with Deep Value Networks
  ☆55Updated 8 years ago
• CosmosShadow / DNI_Torch
  DNI(Decoupled Neural Interfaces using Synthetic Gradients) implementation with Torch
  ☆29Updated 9 years ago
• fonfonx / WassersteinGAN.torch
  Torch implementation of Wasserstein GAN https://arxiv.org/abs/1701.07875
  ☆47Updated 8 years ago
• yuandong-tian / ICML17_ReLU
  ☆29Updated 8 years ago
• singlasahil14 / sortpool2d
  A new kind of pooling layer for faster and sharper convergence
  ☆76Updated 7 years ago
• dannysdeng / selu
  A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)
  ☆60Updated 8 years ago
• roozbehm / newtonian
  ☆33Updated 9 years ago
• TimSalimans / weight_norm
  Lasagne code for weight normalization
  ☆88Updated 9 years ago
• amujika / Fast-Slow-LSTM
  ☆92Updated 8 years ago
• skaae / recurrent-spatial-transformer-code
  Code for Recurrent Spatial Transformer Networks
  ☆162Updated 9 years ago
• gaohuang / DenseNet_lite
  A more memory efficient Torch implementation of "Densely Connected Convolutional Networks".
  ☆29Updated 8 years ago
• aciditeam / torch-models
  Implementation of state-of-art models in Torch
  ☆54Updated 9 years ago
• StacyYang / HzProc
  torch data augmentation toolbox (supports affine transform)
  ☆54Updated 8 years ago