Image classification cifar 10Image Classification on CIFAR-10 Dataset using Multi Layer Perceptrons in Python from Scratch.
Stars: ✭ 18 (-64%)
Mutual labels: image-classification, cifar10
Neural Backed Decision TreesMaking decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
Stars: ✭ 411 (+722%)
Mutual labels: image-classification, cifar10
PFL-Non-IIDThe origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage…
Stars: ✭ 58 (+16%)
Mutual labels: cifar10, cifar100
TorchdistillPyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.
Stars: ✭ 177 (+254%)
Mutual labels: image-classification, cifar10
AognetCode for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"
Stars: ✭ 132 (+164%)
Mutual labels: image-classification, cifar10
BsconvReference implementation for Blueprint Separable Convolutions (CVPR 2020)
Stars: ✭ 84 (+68%)
Mutual labels: image-classification, cifar10
BottleneckTransformersBottleneck Transformers for Visual Recognition
Stars: ✭ 231 (+362%)
Mutual labels: image-classification, cifar10
PetridishnnCode for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
Stars: ✭ 112 (+124%)
Mutual labels: image-classification, cifar10
Pytorch Cifar100Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
Stars: ✭ 2,423 (+4746%)
Mutual labels: image-classification, cifar100
pytorch-cifar-model-zooImplementation of Conv-based and Vit-based networks designed for CIFAR.
Stars: ✭ 62 (+24%)
Mutual labels: image-classification, cifar10
CatalystAccelerated deep learning R&D
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Mutual labels: image-classification
Googlenet InceptionTensorFlow implementation of GoogLeNet and Inception for image classification.
Stars: ✭ 230 (+360%)
Mutual labels: image-classification
SimMIMThis is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
Stars: ✭ 717 (+1334%)
Mutual labels: image-classification
Ml Classifier UiA UI tool for quickly training image classifiers in the browser
Stars: ✭ 224 (+348%)
Mutual labels: image-classification
SCL📄 Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).
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Mutual labels: image-classification
Nfnets PytorchNFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch
Stars: ✭ 215 (+330%)
Mutual labels: image-classification
Pixel level land classificationTutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
Stars: ✭ 217 (+334%)
Mutual labels: image-classification
Transfer Learning SuiteTransfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!
Stars: ✭ 212 (+324%)
Mutual labels: image-classification
