efficent-net

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pablo-reyes8 / pytorch-cnn-architectures

Implementation of iconic convolutional neural networks — LeNet-5, AlexNet, ResNet, U-Net, and Inception — built from scratch using PyTorch. Each model includes custom training loops, evaluation utilities, and visualization tools to explore learned features and embeddings.

computer-vision deep-learning grad-cam cnn pytorch image-classification resnet inception semantic-segmentation u-net efficent-net

Updated Oct 5, 2026
Python

dalgayunus / galaxy-morphology-classification

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Deep learning-based galaxy morphology classification using five CNN architectures trained on high-confidence Galaxy Zoo 2 data.

machine-learning astronomy tensorflow cnn image-classification resnet-50 galaxy-zoo densenet121 custom-cnn convnext-tiny efficent-net galaxy-morphology-classification

Updated Sep 8, 2026
Jupyter Notebook

Group12ITP / plant-disease-dl-comparison

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Comparative analysis of Custom CNN, ResNet50, MobileNetV2, and EfficientNetB0 for multi-class plant disease detection using PlantVillage and PlantDoc. Evaluating accuracy, efficiency, and generalization from controlled to field images.

deep-learning tensorflow keras cnn image-classification plant-disease plantvillage resnet-50 mobilenetv2 plantdoc efficent-net

Updated Sep 29, 2026
Jupyter Notebook

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