snf / keras-fractalnetLinks
FractalNet implementation in Keras: Ultra-Deep Neural Networks without Residuals
☆156Updated 7 years ago
Alternatives and similar repositories for keras-fractalnet
Users that are interested in keras-fractalnet are comparing it to the libraries listed below
Sorting:
- Keras implementation for "Deep Networks with Stochastic Depth" http://arxiv.org/abs/1603.09382☆139Updated 5 years ago
- Generative Adversarial Networks with Keras☆156Updated 4 years ago
- Residual network block in Keras☆72Updated 8 years ago
- Fully differentiable deep-neural decision forest in tensorflow☆229Updated 7 years ago
- Your every day Keras toolbox.☆76Updated 7 years ago
- Reproduction of some of the results from 'Identity Mappings in Deep Residual Networks'☆72Updated 9 years ago
- Deep Unsupervised Perceptual Grouping☆131Updated 4 years ago
- DrMAD☆107Updated 7 years ago
- DeepArchitect: Automatically Designing and Training Deep Architectures☆147Updated 5 years ago
- ☆137Updated 8 years ago
- Wasserstein DCGAN in Tensorflow/Keras☆93Updated 8 years ago
- Deep Neural Network for object segmentation.☆187Updated 8 years ago
- Theano reimplementation of pixelCNN architecture☆166Updated 9 years ago
- Forward Thinking NIPS 2017☆106Updated 7 years ago
- customize this building block to make all the residual connections you can dream of☆80Updated 9 years ago
- A Recurrent Neural Network for Object Segmentation☆126Updated 8 years ago
- Reference caffe implementation of LSUV initialization☆114Updated 7 years ago
- Keras autoencoders (convolutional/fcc) [proof of concept]☆175Updated 5 years ago
- Extra Layers for Keras to connect CNN with RNN☆154Updated 9 years ago
- Extremely simple one-shot learning in Python☆184Updated 9 years ago
- ☆69Updated 6 years ago
- Keras implementation + pretrained weights for "Wide Residual Networks"☆139Updated last year
- Capsule network with variations. Originally proposed by Tieleman & Hinton : http://www.cs.toronto.edu/~tijmen/tijmen_thesis.pdf☆170Updated 7 years ago
- Using Residual Generative Adversarial Networks and Variational Auto-encoder techniques to produce high resolution images.☆124Updated 9 years ago
- Simple implementation of the LSUV initialization in keras☆65Updated 6 years ago
- A new kind of pooling layer for faster and sharper convergence☆76Updated 7 years ago
- Structured Receptive Fields in Convolutional Neural Networks☆47Updated 7 years ago
- Tensorflow implementation of "UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS"☆81Updated 8 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆124Updated 6 years ago
- FractalNet: A fractal-based neural network architecture☆150Updated 7 years ago