Wide Residual Networks implemented in TensorLayer and TensorFlow.

Tensorflow Implementation of Visualization Regularizers for Neural Network based Image Recognition

Python 2/3 compatible .npz CIFAR-10 dataset

Image Classifier using CNNs on the CIFAR100 Image Dataset

Training Low-bits DNNs with Stochastic Quantization

SE-Net Incorporates with ResNet and WideResnet on CIFAR-10/100 Dataset.

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).

ResNeXt model implementation for CS 698 Neural Networks Course Project at UWaterloo

Implementation of the mixup training method

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

Deep Local Predictive Coding Network (Local PCN) implemented with Chainer

Python plug-and-play wrapper to CIFAR-10 dataset.

Keras on CIFAR

Preprocess CIFAR dataset, creating a set of images.

A TensorFlow implementation of VGG networks for image classification

CIFAR 10 image dataset

ResNet for CIFAR with Estimator API and tf.keras.Model class

Multi-Scale Dense Networks for Resource Efficient Image Classification （ICLR 2018 Oral）

Deep Learning Framework from scratch --- translating my Aha! moments into codes --- ⚡ 💡 🔆

Implementation of paper :Lightweight Deep Convolutional Network for Tiny Object Recognition