There are 0 repository under cifar topic.
Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
Unofficial PyTorch Reimplementation of RandAugment.
Multi-Scale Dense Networks for Resource Efficient Image Classification (ICLR 2018 Oral)
Implementation of the mixup training method
Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)
TensorFlow implementation of GoogLeNet and Inception for image classification.
Deep fusion project of deeply-fused nets, and the study on the connection to ensembling
ResNet-20/32/44/56/110 on CIFAR-10 with Caffe
Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
Implementation of our Pattern Recognition paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"
[Paper 2020] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.
Training Low-bits DNNs with Stochastic Quantization
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).
Open Set Recognition
SE-Net Incorporates with ResNet and WideResnet on CIFAR-10/100 Dataset.
Wide Residual Networks implemented in TensorLayer and TensorFlow.
Striving for Simplicity: The All Convolutional Net (All-CNN-C)
A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
Python toolkit for speech processing
Unofficial Pytorch Implementation Of AdversarialAutoAugment(ICLR2020)
Unofficial PyTorch Reimplementation of UniformAugment.
Training ImageNet / CIFAR models with sota strategies and fancy techniques such as ViT, KD, NAS, Rep, etc.
paddle cifar100 training
base backbone model
Python 2/3 compatible .npz CIFAR-10 dataset