Generating Adversarial examples for ConvNeXt
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Updated
Jan 16, 2022 - Jupyter Notebook
Generating Adversarial examples for ConvNeXt
tensorflow network for time series
Transforming agriculture with AI: Explore our GitHub for advanced plant disease detection. Utilizing top CNN models, we empower farmers with early diagnosis tools. Access notebooks, datasets, and a user-friendly web app. Join us in revolutionizing farming for a sustainable future
😉 Face Recognition using Convnext model + Flask
An (admittedly amature) attempt to combine the strength of CNNs for sequence prediction though PACING - Patched bAsed ConvolutIoNal Generators
Various CNN's trained with the Kaggle Chest X-Ray dataset.
Various codes and scripts used during AI research. Orginally developed in the Binary_label_predictions_with_CNNs repository
using convnext as base model for face recognition
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.
Simple implementation of the ConvNext architecture in PyTorch
InceptionNeXt: When Inception Meets ConvNeXt (CVPR 2024)
Human interaction recognition in still images. Work presented at the IbPRIA'23 conference.
Various codes and scripts used during AI research, all neatly organised
This is a warehouse for STL-Pytorch-model, can be used to train your image-datasets for vision tasks.
Train torchvision's MaskRCNN model using the ConvNeXt architecture as the backbone network.
A ConvNext based Siamese Network for identifying changes in highly complex large-scale schematics during hardware development.
Official Tensorflow implementation of ConvNeXt-ChARM: ConvNeXt-based Transform for Efficient Neural Image Compression.
$\mu$-Net: ConvNeXt-Based U-Nets for Muon Tomography
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