Alternatives and similar repositories for deep-residual-networks-pyfunt:

Users that are interested in deep-residual-networks-pyfunt are comparing it to the libraries listed below

• ritchieng / wideresnet-tensorlayer
  Wide Residual Networks implemented in TensorLayer and TensorFlow.
  ☆44Updated 8 years ago
• jazzsaxmafia / dcgan_tensorflow
  Tensorflow implementation of "UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS"
  ☆81Updated 7 years ago
• loliverhennigh / WassersteinGAN.tensorflow
  Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875
  ☆21Updated 8 years ago
• dnlcrl / PyFunt
  Pythonic Deep Learning Framework Inspired by Torch's Neural Network package
  ☆28Updated 6 years ago
• ChunyuanLI / DiscoGAN
  Tensorflow implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
  ☆48Updated 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
• BenJaEGo / CGAN
  conditional generative adversarial network
  ☆16Updated 8 years ago
• hardikbansal / DiracNets
  ☆22Updated 7 years ago
• dvatterott / BMM_attentional_CNN
  A CNN with an attentional module that I built while attending the brains minds and machines summer course
  ☆68Updated 6 years ago
• phreeza / keras-GAN
  Generative Adversarial Networks with Keras
  ☆156Updated 4 years ago
• upul / Semantic_Segmentation
  Semantic Segmentation using Fully Convolutional Neural Network.
  ☆58Updated 5 years ago
• caglar / autoencoders
  Implementation of several different types of autoencoders
  ☆116Updated 2 years ago
• hardmaru / resnet-cppn-gan-tensorflow
  Using Residual Generative Adversarial Networks and Variational Auto-encoder techniques to produce high resolution images.
  ☆124Updated 8 years ago
• jhjacobsen / RFNN
  Structured Receptive Fields in Convolutional Neural Networks
  ☆47Updated 7 years ago
• artvandelay / Deep_Inside_Convolutional_Networks
  This is a caffe implementation to visualize the learnt model
  ☆59Updated 3 years ago
• ToniCreswell / DAAE_
  Denoising Adversairal Autoencoders
  ☆40Updated 7 years ago
• jsikyoon / SequentialData-GAN
  Tensorflow Implementation of GAN modeling for sequential data
  ☆69Updated 7 years ago
• keunwoochoi / residual_block_keras
  Residual network block in Keras
  ☆72Updated 8 years ago
• InnerPeace-Wu / CapsNet-tensorflow
  With reconstruct, capsule representation, adversarial experiments. Implementation of NIPS2017 paper "Dynamic Routing Between Capsules" in…
  ☆75Updated 7 years ago
• alessandroferrari / R-CNN-Object-detection
  Python-caffe simplified implementation of the R-CNN object detection method. I have taken as a starting point the caffe ipython-notebook …
  ☆19Updated 10 years ago
• fvisin / reseg
  A Recurrent Neural Network for Object Segmentation
  ☆126Updated 7 years ago
• singlasahil14 / sortpool2d
  A new kind of pooling layer for faster and sharper convergence
  ☆76Updated 7 years ago
• erogol / resnet.torch
  an updated version of fb.resnet.torch with many changes.
  ☆37Updated 8 years ago
• kuleshov / tf-wgan
  Wasserstein DCGAN in Tensorflow/Keras
  ☆93Updated 8 years ago
• bigsnarfdude / SELU_Keras_Tutorial
  Keras based Tutorials and implementations for "Self-normalizing networks" - new activation function SELU
  ☆48Updated 3 years ago
• hans / adversarial
  Conditional generative adversarial networks for convolutional face generation
  ☆100Updated 8 years ago
• jesu9 / VGGFeatExtract
  Python wrapper to extract CNN embeddings with Oxford VGG models using caffe.
  ☆27Updated 9 years ago
• titu1994 / Residual-of-Residual-Networks
  Residual Network of Residual Networks in Keras
  ☆23Updated 7 years ago
• bgshih / tf_resnet_cifar
  Deep residual learning on CIFAR10 with TensorFlow
  ☆63Updated 8 years ago
• shreyassaxena / convolutional-neural-fabrics
  Architecture learning for CNN's
  ☆37Updated 7 years ago