regnet

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"

Multi-label classification based on timm.

PyTorch-style and human-readable RegNet with a spectrum of pre-trained models

A PyTorch-based Python library with UNet architecture and multiple backbones for Image Semantic Segmentation.

Here is an implementation of DeepLabv3+ in PyTorch(1.7). It supports many backbones and datasets.

Deployment of 3D-Detection and Tracking pipeline in simulation based on rosbags and real-time.

A pytorch implement of RegNet (Designing Netowrk design spaces). Original paper link: https://arxiv.org/pdf/2003.13678.pdf

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.

onnxruntime-web

TF 2.x implementation of RegNet (Designing Network Design Spaces, CVPR 2020).

RegNet (Designing Network Design Spaces) implementation in TensorFlow-2 with pretrained weights.

This project modifies, trains and implements RegNetX-200MF for image classification of a modified variant of ImageNet.

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.

Implementation of RegNet (Tensorflow)

Optimizing DNN Operators on Mobile GPUs

Classification wearing face mask or not

Train the RegNet classifier model using Tensorflow on Colab.