A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
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Updated
Nov 24, 2021 - Python
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.
An image registration method using convolutional neural network features.
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
RegNet (Designing Network Design Spaces) implementation in TensorFlow-2 with pretrained weights.
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)
This project modifies, trains and implements RegNetX-200MF for image classification of a modified variant of ImageNet.
Optimizing DNN Operators on Mobile GPUs
Classification wearing face mask or not
Train the RegNet classifier model using Tensorflow on Colab.
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