A pytorch implement of RegNet (Designing Netowrk design spaces). Original paper link: https://arxiv.org/pdf/2003.13678.pdf
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Updated
May 24, 2020 - Python
A pytorch implement of RegNet (Designing Netowrk design spaces). Original paper link: https://arxiv.org/pdf/2003.13678.pdf
Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"
PyTorch-style and human-readable RegNet with a spectrum of pre-trained models
This project modifies, trains and implements RegNetX-200MF for image classification of a modified variant of ImageNet.
Implementation of RegNet (Tensorflow)
Multi-label classification based on timm.
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
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.
Classification wearing face mask or not
An image registration method using convolutional neural network features.
Here is an implementation of DeepLabv3+ in PyTorch(1.7). It supports many backbones and datasets.
Train the RegNet classifier model using Tensorflow on Colab.
A PyTorch-based Python library with UNet architecture and multiple backbones for Image Semantic Segmentation.
Optimizing DNN Operators on Mobile GPUs
Deployment of 3D-Detection and Tracking pipeline in simulation based on rosbags and real-time.
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