Deployment of 3D-Detection and Tracking pipeline in simulation based on rosbags and real-time.
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Updated
Feb 8, 2024 - Python
Deployment of 3D-Detection and Tracking pipeline in simulation based on rosbags and real-time.
Optimizing DNN Operators on Mobile GPUs
A PyTorch-based Python library with UNet architecture and multiple backbones for Image Semantic Segmentation.
Train the RegNet classifier model using Tensorflow on Colab.
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.
Classification wearing face mask or not
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.
RegNet (Designing Network Design Spaces) implementation in TensorFlow-2 with pretrained weights.
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
Multi-label classification based on timm.
Implementation of RegNet (Tensorflow)
This project modifies, trains and implements RegNetX-200MF for image classification of a modified variant of ImageNet.
PyTorch-style and human-readable RegNet with a spectrum of pre-trained models
Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"
A pytorch implement of RegNet (Designing Netowrk design spaces). Original paper link: https://arxiv.org/pdf/2003.13678.pdf
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