cifar

Sandbox for training deep learning networks

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

PyTorch implementation of CNNs for CIFAR benchmark

Unofficial PyTorch Reimplementation of RandAugment.

The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679

Reproduces ResNet-V3 with pytorch

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"

[TIP 2022] 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.

Open Set Recognition

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).

Python toolkit for speech processing

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