Repo of all deep learning models

Pure Unet to Denoise (with Notebook Tutorial)

Collection of notebooks for image segmentation tasks.

A tutorial that guides users through the process of fine-tuning a stable diffusion model using HuggingFace's diffusers library. The tutorial includes advice on suitable hardware requirements, data preparation using the BLIP Flowers Dataset and a Python notebook, and detailed instructions for fine-tuning the model.

Deep learning architectures for semantic segmentation run on Jupyter Notebook: U-Net, MANet, MAResU-Net, MACU-Net.

This Repository contains TensorFlow implementation of different Image Segmentation Architecture on different types of datasets.

The repository contains the Jupyter Notebook that perform semantic segmentation using the famous U-Net. The encoder of the U-Net is replaced with the pretrained encoder.

In this repository you can find the jupyter notebooks used to take part at the competitions created for the Artifical Neural Networks and Deep Learning exam at Politecnico di Milano.

[Imperial] Neural Network Model for Generation of Image Descriptors for Image Representation in the Euclidean Space.

Wound healing analysis and segment the wound area