PyTorch implementation proof for VGG and ResNet architectures on CIFAR-10.
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Updated
Apr 29, 2026 - Jupyter Notebook
PyTorch implementation proof for VGG and ResNet architectures on CIFAR-10.
Spatial Transformer Network implementation with affine grid sampling, visualization, and baseline comparison.
CAM and Grad-CAM implementation proof with gradient hooks, heatmaps, and guided backpropagation.
PyTorch implementation proof: manual training loops for linear/logistic regression and feedforward MNIST classifiers.
Profile README focused on AI implementation proof and deep learning paper implementations.
FSRCNN super-resolution implementation with patch datasets, PSNR evaluation, and bicubic comparison.
RetinaNet object detection implementation with FPN, detection heads, and focal loss.
MedTech website for OR integration, surgical infrastructure, and regulated clinical workflow implementation.
FCN-style semantic segmentation implementation with mIoU evaluation and a custom segmentation model.
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