PyTorch implementation proof: manual training loops for linear/logistic regression and feedforward MNIST classifiers.
-
Updated
Apr 29, 2026 - Jupyter Notebook
#
implementation-proof
Here are 9 public repositories matching this topic...
FCN-style semantic segmentation implementation with mIoU evaluation and a custom segmentation model.
-
Updated
Apr 29, 2026 - Jupyter Notebook
RetinaNet object detection implementation with FPN, detection heads, and focal loss.
-
Updated
Apr 29, 2026 - Jupyter Notebook
Spatial Transformer Network implementation with affine grid sampling, visualization, and baseline comparison.
-
Updated
Apr 29, 2026 - Jupyter Notebook
PyTorch implementation proof for VGG and ResNet architectures on CIFAR-10.
-
Updated
Apr 29, 2026 - Jupyter Notebook
Profile README focused on AI implementation proof and deep learning paper implementations.
-
Updated
Apr 29, 2026
FSRCNN super-resolution implementation with patch datasets, PSNR evaluation, and bicubic comparison.
-
Updated
Apr 29, 2026 - Jupyter Notebook
CAM and Grad-CAM implementation proof with gradient hooks, heatmaps, and guided backpropagation.
-
Updated
Apr 29, 2026 - Jupyter Notebook
MedTech website for OR integration, surgical infrastructure, and regulated clinical workflow implementation.
react typescript nextjs product-management medtech tailwindcss medical-devices healthtech vercel regulated-systems clinical-workflows implementation-proof workflow-systems or-integration surgical-infrastructure
-
Updated
Sep 4, 2026 - TypeScript
Add this topic to your repo
To associate your repository with the implementation-proof topic, visit your repo's landing page and select "manage topics."