qureai / ultrasound-nerve-segmentation-using-torchnet

Related projects ⓘ

Alternatives and complementary repositories for ultrasound-nerve-segmentation-using-torchnet

• tymokvo / AEGeAN
  Deeper DCGAN with AE stabilization
  ☆38Updated 8 months ago
• jhjacobsen / RFNN
  Structured Receptive Fields in Convolutional Neural Networks
  ☆47Updated 6 years ago
• fvisin / reseg
  A Recurrent Neural Network for Object Segmentation
  ☆125Updated 7 years ago
• XavierLinNow / deepdream_pytorch
  ☆45Updated 7 years ago
• aosokin / biogans
  Implementation of "GANs for Biological Image Synthesis"
  ☆95Updated 6 years ago
• ameya005 / Deep-Segmentation
  Deep Learning methods for semantic segmentation with weakly labelled data
  ☆16Updated 8 years ago
• gaohuang / DenseNet_lite
  A more memory efficient Torch implementation of "Densely Connected Convolutional Networks".
  ☆30Updated 7 years ago
• FlorianMuellerklein / Identity-Mapping-ResNet-Lasagne
  Reproduction of some of the results from 'Identity Mappings in Deep Residual Networks'
  ☆72Updated 8 years ago
• lpigou / Theano-3D-ConvNet
  3D convolutional neural network using Theano. A CNN for video; a spatio-temporal classifier.
  ☆84Updated 9 years ago
• hyenal / crfasrnn
  This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random …
  ☆31Updated 8 years ago
• divelab / dtn
  ☆58Updated 7 years ago
• robertomest / convnet-study
  ☆35Updated 7 years ago
• e-lab / pytorch-CortexNet
  ☆44Updated 7 years ago
• desimone / segmentation-models
  semantic image segmentation networks implemented in tensorflow
  ☆16Updated 7 years ago
• bigsnarfdude / SELU_Keras_Tutorial
  Keras based Tutorials and implementations for "Self-normalizing networks" - new activation function SELU
  ☆48Updated 3 years ago
• Aysegul / torch-visbox
  visualizing what ConvNets learn with camera
  ☆89Updated 9 years ago
• jhjacobsen / HierarchicalCNN
  ☆29Updated 6 years ago
• dlaptev / TI-pooling
  TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks
  ☆118Updated 7 years ago
• artvandelay / Deep_Inside_Convolutional_Networks
  This is a caffe implementation to visualize the learnt model
  ☆60Updated 3 years ago
• kbullaughey / dni-synthetic-gradients
  Torch implementation reproducing MNIST experiments from DeepMind's DNI paper.
  ☆44Updated 7 years ago
• jesu9 / VGGFeatExtract
  Python wrapper to extract CNN embeddings with Oxford VGG models using caffe.
  ☆27Updated 9 years ago
• juliandewit / kaggle_ndsb2
  3rd place solution for the second kaggle national datascience bowl
  ☆93Updated 8 years ago
• dannysdeng / selu
  A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)
  ☆59Updated 7 years ago
• keunwoochoi / residual_block_keras
  Residual network block in Keras
  ☆72Updated 8 years ago
• HyeonwooNoh / DecoupledNet
  DecoupledNet: Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
  ☆74Updated 9 years ago
• mila-iqia / summerschool2016
  Montréal Deep Learning Summer School 2016 material
  ☆100Updated 8 years ago
• StacyYang / HzProc
  torch data augmentation toolbox (supports affine transform)
  ☆54Updated 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
• danielvarga / earth-moving-generative-net
  ☆31Updated 7 years ago
• maga33 / TransferNet
  A Caffe implementation of http://arxiv.org/abs/1512.07928
  ☆40Updated 8 years ago