Sandbox for training convolutional networks for computer vision

PyTorch implementation of CNNs for CIFAR benchmark

Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

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

Reproduces ResNet-V3 with pytorch

Implementation of the mixup training method

Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)

Unofficial PyTorch Reimplementation of RandAugment.

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

TensorFlow implementation of GoogLeNet and Inception for image classification.

ResNet-20/32/44/56/110 on CIFAR-10 with Caffe

Training examples and results for ImageNet/CIFAR/COCO/VOC training.Image Classification/Object Detection.

Training Low-bits DNNs with Stochastic Quantization

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

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).

Wide Residual Networks implemented in TensorLayer and TensorFlow.

Striving for Simplicity: The All Convolutional Net (All-CNN-C)

CIFAR 10 image dataset

Neural network library written in C and Javascript

Proximal Mean-field for Neural Network Quantization

A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).

Python 2/3 compatible .npz CIFAR-10 dataset

A TensorFlow implementation of VGG networks for image classification

pytorch implementation of several CNNs for image classification

Unofficial PyTorch Reimplementation of UniformAugment.

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

Source code for HTD (WACV 2019)