Analyze the performance of 7 optimizers by varying their learning rates
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Updated
Dec 20, 2020 - Jupyter Notebook
Analyze the performance of 7 optimizers by varying their learning rates
Сегментация КТ-снимков лёгких для выявления поражения тканей от COVID-19 на основе глубоких свёрточных нейронных сетей
This repository contains a term project I did in my machine learning class under Dr.Yingying Zhu .We are attempted to use U-Net on Brain MRI images to apply image segmentation to isolate LGG tumor cells in the brain. Achieved 78% accuracy. Includes Jupiter book, PPT, report and demo video
Semantic segmentation solution for Airbus Challenge Task
PyTorch Implementation 3D U-Net architecture
Geospatial Object Detection using Aerial Images
U-Net based deep learning model for the purpose of segmenting tooth images.
This repository showcases the implementation of both Semantic Segmentation Model and Object Detection Models for Self-Driving Cars.
Semantic segmentation on aerial images of natural disasters (lpcv2023 challenge dataset).
Image Segmentaion using Deep learning
A Unet semantic segmentation workflow for working with TPS files
Visual Analysis of Lung Segmentation using the U-NET Architecture on the Montgomery dataset
U-Net Binary Segmentation on Electron Microscopy Particle Dataset
Different ways to create the Unet Architecture in PyTorch. A U-shaped architecture consists of a specific encoder-decoder scheme: The encoder reduces the spatial dimensions in every layer and increases the channels....
This repository contains some TensorFlow demos I put together for students while teaching CS 12: TensorFlow at Caltech.
Software para determinação da área superficial de amostras, utilizadas em medidas elétricas.
Implementation of the original U-net algorithm as a final project for the course "BLG 506E - Computer Vision" at Istanbul Technical University.
Image segmentation model for checking apple quality using UNet model architecture on TensorFlow along with AWS SageMaker deployment.
In this project I tried to replicate tensorflow pix to pix model on different dataset.
Unet per la segmentazione di immagini biomediche
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