Alternatives and similar repositories for DiracNets:

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

• maga33 / TransferNet
  A Caffe implementation of http://arxiv.org/abs/1512.07928
  ☆39Updated 8 years ago
• mathieuaubry / features_analysis
  Implementation of the approach described in "Understanding deep features with computer-generated imagery" , M. Aubry and B. Russell, ICCV…
  ☆20Updated last year
• cameronfabbri / LSGANs-Tensorflow
  Least Squares GANs in Tensorflow
  ☆17Updated 8 years ago
• erogol / resnet.torch
  an updated version of fb.resnet.torch with many changes.
  ☆37Updated 8 years ago
• HyeonwooNoh / voc_classification
  ☆29Updated 8 years ago
• StacyYang / HzProc
  torch data augmentation toolbox (supports affine transform)
  ☆54Updated 7 years ago
• ritchieng / wideresnet-tensorlayer
  Wide Residual Networks implemented in TensorLayer and TensorFlow.
  ☆44Updated 8 years ago
• mfigurnov / perforated-cnn-matconvnet
  ☆10Updated 8 years ago
• e-lab / pytorch-CortexNet
  ☆44Updated 7 years ago
• therne / compact-bilinear-pooling-tf
  Compact Bilinear Pooling (https://arxiv.org/abs/1511.06062) for TensorFlow
  ☆46Updated 5 years ago
• seann999 / tensorflow_mnist_ram
  An attempt to implement the recurrent attention model (RAM) from "Recurrent Models of Visual Attention" (Mnih+ 2014)
  ☆43Updated 4 years ago
• gaohuang / DenseNet_lite
  A more memory efficient Torch implementation of "Densely Connected Convolutional Networks".
  ☆29Updated 7 years ago
• zongyuange / MixDCNN
  Pre-trained models for MixDCNN paper
  ☆36Updated 6 years ago
• lim0606 / torch-inception-resnet-v2
  The inception-resnet-v2 models re-trained from scratch via torch
  ☆52Updated 6 years ago
• preddy5 / Residual-Learning-and-Stochastic-Depth
  Implementation of Residual Learning with Stochastic Depth http://arxiv.org/pdf/1603.09382v2.pdf
  ☆10Updated 8 years ago
• tymokvo / AEGeAN
  Deeper DCGAN with AE stabilization
  ☆38Updated last year
• shreyassaxena / convolutional-neural-fabrics
  Architecture learning for CNN's
  ☆37Updated 8 years ago
• beopst / dcn.tf
  Dynamic Capacity Networks using Tensorflow
  ☆52Updated 8 years ago
• yuandong-tian / ICML17_ReLU
  ☆29Updated 7 years ago
• neuralix / google_evolution
  ☆53Updated 8 years ago
• jhkim89 / PyramidNet
  Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).
  ☆131Updated 7 years ago
• songhan / SqueezeNet-DSD-Training
  ☆57Updated 6 years ago
• jesu9 / VGGFeatExtract
  Python wrapper to extract CNN embeddings with Oxford VGG models using caffe.
  ☆27Updated 9 years ago
• NidabaSys / Simplified_SqueezeNet
  An improved version of SqueezeNet networks https://github.com/DeepScale/SqueezeNet
  ☆37Updated 8 years ago
• eevignesh / videovector
  Code for video frame embeddings: Learning Temporal Embeddings for Complex Video Analysis, ICCV 2015
  ☆23Updated 9 years ago
• roozbehm / newtonian
  ☆33Updated 8 years ago
• bmsookim / wide-residual-network
  Wide-residual network implementations. Best result for cifar10(97.12%), cifar100(84.12%), and other kaggle challenges
  ☆37Updated 8 years ago
• chenxi116 / TF-deeplab
  Tensorflow implementation of DeepLabv2
  ☆22Updated 7 years ago
• divelab / dtn
  ☆57Updated 7 years ago
• kimhc6028 / forward-thinking-pytorch
  Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"
  ☆65Updated 7 years ago