Wide Residual Networks implemented in TensorLayer and TensorFlow.
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Updated
Oct 30, 2016 - Python
Wide Residual Networks implemented in TensorLayer and TensorFlow.
Caffe Wide-Residual-Network (WRN) Generator
Minimalist Keras implementation for performing object recognition with deep learning
Residual Network of Residual Networks in Keras
Image classification using ResNet50. Image input from webcam.
Anomaly Detection Discriminative GAN (ADD-GAN)
Python implementation of "Deep Residual Learning for Image Recognition" (http://arxiv.org/abs/1512.03385 - MSRA, winner team of the 2015 ILSVRC and COCO challenges).
A simple app that predicts which Simpson character you make it see! Here is an example of it in action:
A Deep Residual Convolutional Neural Network as Gender Classifier on an Interactive Webserver
PyTorch implementation of residual networks trained on CIFAR-10 dataset (2017)
Electron Microscopy Images, Neuron Segmentation Task. https://cremi.org
Chainer implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).
My Simple Implementation of AlphaGo Zero on Connect4
Wide Residual Networks in Keras
PyTorch Implementation of Mobilenet Variants including support for residual connections, group convolutions and squeeze-excite blocks
Undergraduate final project: Ordinal Clasification with Residual Networks for the Adience dataset.
Text Summarization using Residual Logarithmic LSTMs
a Pytorch implementation of neural style mixer
World's best Boerewors image classifier, built with ResNets and Transfer Learning.
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