the training and source code for mnist / qmnist classifiers
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Updated
Oct 1, 2024 - Python
the training and source code for mnist / qmnist classifiers
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
Human interaction recognition in still images. Work presented at the IbPRIA'23 conference.
Various codes and scripts used during AI research, all neatly organised
A ConvNext based Siamese Network for identifying changes in highly complex large-scale schematics during hardware development.
This is a warehouse for STL-Pytorch-model, can be used to train your image-datasets for vision tasks.
🐝 Research on the Control and Prediction of the North American Bumblebee Using Multimodal Algorithms.
This repository contains the implementation of two adversarial example attack methods FGSM, IFGSM and one Input Transformation defense mechanism against all attacks using Imagenet dataset.
🌾🍀 An early crop disease discovery Deep Convolutional Neural Networks model using leaf symptom images.
New is not always better: a comparison of two image classification networks (ResNet-50 vs ConvNeXt).
Paddle YOLOX, 51.8mAP on COCO val by YOLOX-x, 44.6mAP on YOLOX-s ConvNeXt
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
This project includes multiple models, loss functions, optimizers and image augmentations for image classification task
ConvNext CNN and transformer architecture based video retrieval system to perform large scale video retrieval for a query video from a large video database
tensorflow network for time series
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