regnet

There are 0 repository under regnet topic.

calmiLovesAI / Basic_CNNs_TensorFlow2
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
tensorflow2 image-classification image-recognition tensorflow mobilenet-v1 mobilenet-v2 mobilenet-v3 efficientnet resnext inception-v4 inception-resnet-v2 senet seresnet squeezenet densenet shufflenet-v2 resnet regnet
Language:Python 528
signatrix / regnet
Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"
designing-network-design-spaces image-classification pytorch deep-learning regnet anynet fair paradigm squeeze-and-excitation imagenet classification
Language:Python 183
yang-ruixin / PyTorch-Image-Models-Multi-Label-Classification
Multi-label classification based on timm.
multi-label multi-label-classification pytorch pretrained-models pretrained-weights transfer-learning gradient-centralization densenet efficientnet hrnet mixnet mnasnet mobilenetv3 regnet resnet multi-task timm multi-task-learning vision-transformer-models imagenet-classifier
Language:Jupyter Notebook 111
d-li14 / regnet.pytorch
PyTorch-style and human-readable RegNet with a spectrum of pre-trained models
imagenet neural-architecture-search pretrained-models pytorch regnet resnext
Language:Python 68
mberkay0 / pretrained-backbones-unet
A PyTorch-based Python library with UNet architecture and multiple backbones for Image Semantic Segmentation.
backbone-models convnext convnext-unet densenet efficientnet pip pretrained-models pytorch regnet resnet semantic-segmentation timm unet vgg
Language:Python 54
TangYong1975 / deeplabv3-swintransformer
deeplabv3plus swin-transformer pytorch deeplabv3 hrnet mobilenet regnet resnet
Language:Python 42
RolandGao / PyTorch_DeepLab
Here is an implementation of DeepLabv3+ in PyTorch(1.7). It supports many backbones and datasets.
deeplab deeplab-v3-plus pytorch mobilenetv2 resnet cityscapes semantic-segmentation segmentation xception pascalvoc regnet coco
Language:Python 17
ksm26 / ROS-based-3D-detection-Tracking
Deployment of 3D-Detection and Tracking pipeline in simulation based on rosbags and real-time.
3d-detection deployment detection-model lidar lidar-point-cloud ml-deployment mmdeploy onnx openpcdet pointpillars regnet ros tensorrt tracking tracking-algorithm tracking-by-detection nuscenes
Language:Python 10
mberkay0 / cnn-registration-with-regnet
An image registration method using convolutional neural network features.
cnn image-registration regnet deep-learning uav
Language:Jupyter Notebook 5
Alessiacosmos / RegNet-pytorch
A pytorch implement of RegNet (Designing Netowrk design spaces). Original paper link: https://arxiv.org/pdf/2003.13678.pdf
pytorch regnet image-classification regnet-pytorch designing-network-design-spaces
Language:Python 3
PaperCodeReview / RegNet-TF
TF 2.x implementation of RegNet (Designing Network Design Spaces, CVPR 2020).
regnet modeling tf2 regnet-tf
Language:Python 2
AsianZeus / FaceMask-Classification-Models
This repository holds the downstream task of Face Mask Classification performed on Self Currated Custom Dataset with various State of the Art deep learning models like ViT, BeIT, DeIT, LeViT, ConvNeXt, VGG16, EfficientNetV2, RegNet and MobileNetV3.
facemask-detection vision-transformer beit deit convnext mobilenetv3 vgg16 regnet resnet efficientnetv2 pytorch transformers levit
Language:Jupyter Notebook 1
biyoml / TF2-Pretrained-RegNets
RegNet (Designing Network Design Spaces) implementation in TensorFlow-2 with pretrained weights.
regnet keras tensorflow-2 pretrained-models
Language:Python 1
captainIT / onnxruntime-web-demo
onnxruntime-web
onnxruntime-web regnet yolov8 onnx-js
Language:JavaScript 1
gshashank84 / RegNet
Implementation of RegNet (Tensorflow)
regnet regnet-tf tensorflow-implemention
Language:Jupyter Notebook 1
raisaat / Modified-RegNetX-200MF
This project modifies, trains and implements RegNetX-200MF for image classification of a modified variant of ImageNet.
machine-learning neural-network regnet pytorch supervised-learning
Language:Python 1
briancpark / csc766-project
Optimizing DNN Operators on Mobile GPUs
android android-development convolutional-neural-networks cpp deep-learning neon onnx opencl regnet regnet-pytorch shufflenet-v2 shufflenetv2
Language:Python 0
mo26-web / Bone-Fracture-Classification
This project uses PyTorch to classify bone fractures. As well as fine-tuning some famous CNN architectures (like VGG 19, MobileNetV3, RegNet,...), we designed our own architecture. Additionally, we used Transformer architectures (such as Vision Transformer and Swin Transformer). This dataset is Bone Fracture Multi-Region X-ray, available on Kaggle.
medical-image-processing mobilenetv3 regnet swin-transformer vgg19 vision-transformer wideresnet bone-fracture-classification fracture-detection medical-images x-ray-images cnn-architecture cnn-classification attention-mechanism medical-application deep-neural-networks pytorch
Language:Jupyter Notebook 0
mberkay0 / regnet
Train the RegNet classifier model using Tensorflow on Colab.
classification cnn deep-learning pytorch regnet regnet-pytorch
Language:Jupyter Notebook
qbxlvnf11 / face-mask-classification
Classification wearing face mask or not
face-mask-classification mask-classification pytorch regnet wearing-masks
Language:Jupyter Notebook

regnet

calmiLovesAI / Basic_CNNs_TensorFlow2

signatrix / regnet

yang-ruixin / PyTorch-Image-Models-Multi-Label-Classification

d-li14 / regnet.pytorch

mberkay0 / pretrained-backbones-unet

TangYong1975 / deeplabv3-swintransformer

RolandGao / PyTorch_DeepLab

ksm26 / ROS-based-3D-detection-Tracking

mberkay0 / cnn-registration-with-regnet

Alessiacosmos / RegNet-pytorch

PaperCodeReview / RegNet-TF

AsianZeus / FaceMask-Classification-Models

biyoml / TF2-Pretrained-RegNets

captainIT / onnxruntime-web-demo

gshashank84 / RegNet

raisaat / Modified-RegNetX-200MF

briancpark / csc766-project

mo26-web / Bone-Fracture-Classification

mberkay0 / regnet

qbxlvnf11 / face-mask-classification