Topic: cifar Goto Github
Some thing interesting about cifar
Some thing interesting about cifar
cifar,Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
User: akamaster
cifar,Source code for HTD (WACV 2019)
User: bigballon
Home Page: https://arxiv.org/abs/1806.01593
cifar,✨基于卷积神经网络(CNN)和CIFAR10数据集的图像智能分类 Web 应用 Intelligent Image Classification Web Applcation based on Convolutional Neural Networks and the CIFAR10 Dataset✨🚩 (with README in English) 📌含在线demo:图像分类可视化界面,快速部署深度学习模型为网页应用,Web预测系统,决策支持系统(DSS),图像分类前端网页,图像分类Demo展示-Pywebio。AI人工智能图像分类-Pytorch。CIFAR10数据集,小模型。100%纯Python代码,轻量化,易复现
User: bytesc
Home Page: http://www.bytesc.top
cifar,TensorFlow implementation of GoogLeNet and Inception for image classification.
User: conan7882
cifar,A TensorFlow implementation of VGG networks for image classification
User: conan7882
cifar,Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
User: csinva
cifar,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).
User: dnlcrl
cifar,Training Low-bits DNNs with Stochastic Quantization
User: dongyp13
cifar,CIFAR 10 image dataset
User: en10
cifar,A reproduction of Learning Efficient Convolutional Networks through Network Slimming
User: estherbear
cifar,ResNet-20/32/44/56/110 on CIFAR-10 with Caffe
User: ethanhe42
Home Page: https://yihui-he.github.io/blog/resnet-on-cifar-10-with-caffe
cifar,Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)
User: felixgwu
cifar,[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.
Organization: freeformrobotics
cifar,Multi-Scale Dense Networks for Resource Efficient Image Classification (ICLR 2018 Oral)
User: gaohuang
Home Page: https://arxiv.org/abs/1703.09844
cifar,Implementation of the mixup training method
User: hongyi-zhang
cifar,Training ImageNet / CIFAR models with sota strategies and fancy techniques such as ViT, KD, Rep, etc.
User: hunto
cifar,Python toolkit for speech processing
Organization: hyperion-ml
cifar,Unofficial PyTorch Reimplementation of RandAugment.
User: ildoonet
cifar,The official implementation of LumiNet: The Bright Side of Perceptual Knowledge Distillation https://arxiv.org/abs/2310.03669
User: ismail31416
cifar,paddle cifar100 training
User: itisianlee
cifar,95.76% on CIFAR-10 with TensorFlow2
User: lionelmessi6410
cifar,A working PyTorch implementation of the iCaRL algorithm (for Cifar100 experiments)
User: lrzpellegrini
cifar,Open Set Recognition
User: ma-xu
cifar,A convolutional neural network approach to classify image using the CIFAR-10 image classification dataset.
User: mahmudulalam
cifar,Striving for Simplicity: The All Convolutional Net (All-CNN-C)
User: mateuszbuda
cifar,The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content/ICCV2023/papers/Zhao_DOT_A_Distillation-Oriented_Trainer_ICCV_2023_paper.pdf
Organization: megvii-research
cifar,:dart: Deep Learning Framework for Image Classification & Regression in Pytorch for Fast Experiments
Organization: mic-dkfz
cifar,Designed a smaller architecture implemented from the paper Deep Residual Learning for Image Recognition and achieved 93.65% accuracy.
User: moddy2024
cifar,Python plug-and-play wrapper to CIFAR-10 dataset.
User: ndrplz
cifar,Python 2/3 compatible .npz CIFAR-10 dataset
User: nickstanisha
cifar,Sandbox for training deep learning networks
User: osmr
cifar,SE-Net Incorporates with ResNet and WideResnet on CIFAR-10/100 Dataset.
User: queequeg92
cifar,Wide Residual Networks implemented in TensorLayer and TensorFlow.
User: ritchieng
cifar,base backbone model
User: sehwanjoo
cifar,vgg cifar-10
User: sehwanjoo
cifar,Unofficial Pytorch Implementation Of AdversarialAutoAugment(ICLR2020)
User: seongwoongcho
cifar,A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
User: shivamshrirao
cifar,pytorch implementation of several CNNs for image classification
User: syt2
cifar,Proximal Mean-field for Neural Network Quantization
User: tajanthan
cifar,Unofficial PyTorch Reimplementation of UniformAugment.
User: tgilewicz
cifar,The official implementation of "Asymmetric Patch Sampling for Contrastive Learning"
Organization: visresearch
cifar,The official implementation of paper: "Inter-Instance Similarity Modeling for Contrastive Learning"
Organization: visresearch
cifar,Implementation of our Pattern Recognition paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"
User: voldemortx
cifar,Neural network library written in C and Javascript
User: yui0
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