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