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NumPy · scikit-learn · metrics · confusion matrix projects

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Thumbnail for Dog Breed Classification using Transfer Learning: a dog photo representing the ResNet classifier trained on Stanford Dogs.
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Dog Breed Classification using Transfer Learning

A fine-grained image classifier that identifies dog breeds from photos using transfer learning: a ResNet (He et al. 2016) pre...

NumPy · scikit-learn · metrics · confusion matrix Matplotlib · Seaborn · accuracy and loss curves Python 3.10 · PyTorch · training · validation · inference
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Underwater photo of a fish alongside an overlaid prediction panel showing the recognised species with confidence scores and water-parameter readouts.
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Fish Species Recognition using CNN

An image-classification project that recognizes freshwater fish species from photos. A transfer-learning CNN — an ImageNet pr...

NumPy · scikit-learn · metrics · confusion matrix Matplotlib · Seaborn · accuracy and loss curves Trained weights as .pth · exported training run
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Dark-themed demo app interface: a video preview showing a walking person with a pose skeleton overlay, a timeline strip of video frames, and activity prediction panels with confidence scores.
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Human Activity Recognition using 3D CNN

This project builds a video-understanding system that labels human activities in short clips. A C3D-style 3D convolutional ne...

Trained weights · shipped .pth checkpoints Python 3.10 · PyTorch · training pipeline C3D-style 3D CNN · spatiotemporal convolutions
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Thumbnail for Plant Species Identification using MobileNet: a leaf photo representing the MobileNet classifier trained on PlantVillage.
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Plant Species Identification using MobileNet

A leaf-photo classifier that identifies plant species using MobileNet (Howard et al. 2017), the lightweight CNN designed for...

NumPy · scikit-learn · metrics · confusion matrix Matplotlib · Seaborn · accuracy and loss curves Python 3.10 · PyTorch · training · validation · inference
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