| --- |
| license: mit |
| library_name: pytorch |
| tags: |
| - tomography |
| - vae |
| - resnet18 |
| - computer_vision |
| --- |
| |
| # Electron Tomography VAE (ResNet18) |
|
|
| ## Model Description |
| This is a Variational Autoencoder (VAE) developed for electron tomography reconstruction as part of a university project. |
|
|
| As per the licensing, the encoder utilizes a ResNet18 architecture provided by `torchvision`, which has been adapted for feature extraction from tomographic data. |
|
|
| ## Intended Use |
| This model is intended for academic research and demonstration purposes. It is designed to run behind a Streamlit web application, allowing users to interactively visualize reconstructed volumes without needing to write code. |
|
|
| ## Technical Details |
| * **Architecture:** Variational Autoencoder (VAE) |
| * **Encoder:** ResNet18 |
| * **Framework:** PyTorch |
