filippoboni1921 Goto Github PK

bayesian-networks-r-project-

breast-cancer-image-segmentation-u-net-attention-unet-and-seu-net

The project has the goal to apply one of the most used and famous models in the context of Image Segmentation, U-Net, in the context of the X-Ray images of Breast Cancer. In addition two variations of the U-Net which use an Attntion Module and a Squeeze & Excitation Module are studied in order to improve the performances of the original network.

breast-cancer-image-segmentation-u-net-attention-unet-and-seu-net.

The project has the goal to apply one of the most used and famous models in the context of Image Segmentation, U-Net, in the context of the X-Ray images of Breast Cancer. In addition two variations of the U-Net which use an Attntion Module and a Squeeze & Excitation Module are studied in order to improve the performances of the original network.

cnn-vae-gan-project

This are the results and the codes of the second assignement of the Deep Learning Class. The codes are divided per tasks. It is possible to have an overview of the tasks by reading the report..

evolutionary-algorithms

few-shot-learning

filippo_cooking_company

filippoboni1921

Config files for my GitHub profile.

fir-filter-project

game-of-life-project

geometric_shape_image_similarity

image_similarity_of_geometric_shapes

laboratory_of_python

laboratoryofcomputationalphysics_y4

Repo for Laboratory of Computational Physics, year 21-22

lcp_projects_y4

Projects for Laboratory of Computational Physics, mod. A, Year 4

llm-foundation-models

machine-learning-assignements

mapd-b

nas-problem-with-evolutionary-algorithms

neural-network-project

pyspark-project

r-and-statistics-assignement

reinforcement-learning-snake-player

solar-dynamo-project

visegrad-group-companies-analysis-with-xgboost-and-random-forest