imagenet

There are 18 repositories under imagenet topic.

huggingface / pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
pytorch resnet dual-path-networks pretrained-models pretrained-weights distributed-training mobile-deep-learning mobilenet-v2 mobilenetv3 efficientnet augmix randaugment mixnet vision-transformer-models nfnets normalization-free-training maxvit convnext image-classification imagenet
Language:Python 29998
HumanSignal / labelImg
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.
python2 python3 annotations tools imagenet deep-learning detection recognition image-classification
Language:Python 21885
microsoft / Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
swin-transformer image-classification object-detection semantic-segmentation imagenet mscoco ade20k mask-rcnn
Language:Python 13054
cvat
cvat-ai / cvat
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
video-annotation computer-vision computer-vision-annotation deep-learning image-annotation annotation-tool annotation labeling labeling-tool image-labeling image-labelling-tool boundingbox image-classification annotations imagenet tensorflow semantic-segmentation dataset object-detection pytorch
Language:TypeScript 11522
Cadene / pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
imagenet resnet resnext pretrained pytorch inception
Language:Python 8954
qubvel / segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
segmentation image-processing pspnet linknet unet unet-pytorch pytorch fpn models imagenet pretrained-models semantic-segmentation image-segmentation segmentation-models pretrained-backbones unetplusplus deeplabv3 deeplab-v3-plus pretrained-weights hacktoberfest
Language:Python 8897
lukemelas / EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
efficientnet-pytorch feature-extraction imagenet pretrained-models
Language:Python 7767
TensorLayer
tensorlayer / TensorLayer
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
tensorlayer deep-learning tensorflow neural-network reinforcement-learning artificial-intelligence gan a3c tensorflow-tutorials dqn object-detection chatbot python tensorflow-tutorial imagenet google
Language:Python 7297
ml5js / ml5-library
Friendly machine learning for the web! 🤖
lstm deep-learning imagenet machine-learning javascript neural-network p5xjs p5js
Language:JavaScript 6367
huawei-noah / Efficient-AI-Backbones
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
convolutional-neural-networks efficient-inference imagenet model-compression tensorflow pytorch ghostnet transformer pretrained-models vision-transformer
Language:Python 3844
tinyvision / DAMO-YOLO
DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.
deep-learning nas object-detection onnx pytorch tensorrt yolo yolov5 imagenet damo-yolo
Language:Python 3682
osmr / imgclsmob
Sandbox for training deep learning networks
machine-learning deep-learning mxnet gluon pytorch classification imagenet neural-network image-classification chainer keras tensorflow pretrained-models cifar segmentation tensorflow2 semantic-segmentation human-pose-estimation 3d-face-reconstruction
Language:Python 2924
qubvel / efficientnet
Implementation of EfficientNet model. Keras and TensorFlow Keras.
classification imagenet efficientnet pretrained-models image-classification efficient nasnetmobile mobilenet deep-learning
Language:Python 2062
apple / ml-cvnets
CVNets: A library for training computer vision networks
ade20k classification computer-vision deep-learning detection imagenet machine-learning mscoco pascal-voc pytorch segmentation
Language:Python 1695
bearpaw / pytorch-classification
Classification with PyTorch.
classification cifar10 cifar100 imagenet pytorch resnet resnext wide-residual-networks wrn densenet preresnet
Language:Python 1658
google-research / big_transfer
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
deep-learning convolutional-neural-networks imagenet tensorflow2 jax pytorch transfer-learning
Language:Python 1494
mit-han-lab / efficientvit
EfficientViT is a new family of vision models for efficient high-resolution vision.
efficientvit high-resolution imagenet segment-anything segmentation vision-transformer
Language:Python 1447
hysts / pytorch_image_classification
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet
pytorch computer-vision cifar10 fashion-mnist imagenet
Language:Python 1317
torchdistill
yoshitomo-matsubara / torchdistill
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
knowledge-distillation pytorch image-classification imagenet object-detection coco semantic-segmentation cifar10 cifar100 colab-notebook google-colab pascal-voc nlp natural-language-processing transformer glue amazon-sagemaker-lab
Language:Python 1286
soeaver / caffe-model
Caffe models (including classification, detection and segmentation) and deploy files for famouse networks
inception-resnet caffe caffemodel resnext imagenet resnet inception dpn faster-rcnn classification detection segmentation
Language:Python 1282
shicai / MobileNet-Caffe
Caffe Implementation of Google's MobileNets (v1 and v2)
mobilenet caffe imagenet mobilenetv2 mobilnet-v2
Language:Python 1257
qubvel / classification_models
Classification models trained on ImageNet. Keras.
resnet pretrained-models pretrained-weights keras imagenet imagenet-classifier classification-model resnext senet squeeze-and-excitation inceptionv3 inception-resnet-v2 densenet mobilenet nasnet xception vgg
Language:Python 1203
Hyperparticle / one-pixel-attack-keras
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
keras cnn cifar10 machine-learning tensorflow deep-learning neural-network imagenet image-processing nlp
Language:Jupyter Notebook 1192
TsingZ0 / PFLlib
We expose this user-friendly algorithm library (with an integrated evaluation platform) for beginners who intend to start federated learning (FL) study
non-iid federated-learning personalization pytorch python distributed-computing heterogeneity differential-privacy privacy imagenet domainnet iot attack dlg privacy-protection
Language:Python 1180
hendrycks / robustness
Corruption and Perturbation Robustness (ICLR 2019)
imagenet robustness pytorch deep-learning convolutional-neural-networks computer-vision machine-learning domain-generalization ml-safety
Language:Python 970
snap-research / EfficientFormer
EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]
deep-learning detection efficient-inference efficient-neural-networks imagenet mobile-devices pytorch semantic-segmentation transformer transformers
Language:Python 950
HRNet / HRNet-Image-Classification
Train the HRNet model on ImageNet
image-classification imagenet hrnets high-resolution-net
Language:Python 946
huawei-noah / AdderNet
Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"
pytorch imagenet convolutional-neural-networks cvpr2020 efficient-inference
Language:Python 946
switchablenorms / Switchable-Normalization
Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779
normalization deeplearning convolutional-neural-networks imagenet pytorch
Language:HTML 864
gmalivenko / pytorch2keras
PyTorch to Keras model convertor
pytorch keras-model-convertor keras tensorflow onnx keras-models tensorflow-models resnet densenet machinelearning keras-tensorflow keras-neural-networks pytorch-models tensorflowjs deep-learning deep-learning-models models-converter darts converter imagenet
Language:Python 849
kuan-wang / pytorch-mobilenet-v3
MobileNetV3 in pytorch and ImageNet pretrained models
pytorch imagenet mobilenet classification mobilenetv3 mobilenetv2
Language:Python 760
megvii-research / mdistiller
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
pytorch knowledge-distillation computer-vision deep-learning cifar coco cvpr2022 imagenet iccv2023
Language:Python 749
ducha-aiki / caffenet-benchmark
Evaluation of the CNN design choices performance on ImageNet-2012.
convolutional-neural-networks convolutional-networks batch-size caffenet lr-policy architecture relu caffe benchmark activations dataset imagenet
Language:Jupyter Notebook 741
zhirongw / lemniscate.pytorch
Unsupervised Feature Learning via Non-parametric Instance Discrimination
computer-vision deep-learning unsupervised-learning imagenet pytorch nce cvpr2018 representation-learning self-supervised-learning
Language:Python 738
szq0214 / MEAL-V2
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.
distillation imagenet compression-algorithm mobilenetv3 efficientnet pre-trained resnet50 imagenet-dataset meal model-architecture pytorch distillation-model
Language:Python 684
RandWireNN
seungwonpark / RandWireNN
Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
neural-architecture-search imagenet
Language:Python 683

imagenet

huggingface / pytorch-image-models

HumanSignal / labelImg

microsoft / Swin-Transformer

cvat-ai / cvat

Cadene / pretrained-models.pytorch

qubvel / segmentation_models.pytorch

lukemelas / EfficientNet-PyTorch

tensorlayer / TensorLayer

ml5js / ml5-library

huawei-noah / Efficient-AI-Backbones

tinyvision / DAMO-YOLO

osmr / imgclsmob

qubvel / efficientnet

apple / ml-cvnets

bearpaw / pytorch-classification

google-research / big_transfer

mit-han-lab / efficientvit

hysts / pytorch_image_classification

yoshitomo-matsubara / torchdistill

soeaver / caffe-model

shicai / MobileNet-Caffe

qubvel / classification_models

Hyperparticle / one-pixel-attack-keras

TsingZ0 / PFLlib

hendrycks / robustness

snap-research / EfficientFormer

HRNet / HRNet-Image-Classification

huawei-noah / AdderNet

switchablenorms / Switchable-Normalization

gmalivenko / pytorch2keras

kuan-wang / pytorch-mobilenet-v3

megvii-research / mdistiller

ducha-aiki / caffenet-benchmark

zhirongw / lemniscate.pytorch

szq0214 / MEAL-V2

seungwonpark / RandWireNN