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
Implement Unet model from scratch and perform segmentation on ISIC 2018 dataset with Tensorflow
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
Retinal Vessels Segmentation with U_Net
Image segmentation project
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 Project is Semantic Segmentation of High-Resolution Multi-Spectral Optical Satellite Images: A Deep Learning-based Approach for Monitoring Deforestation
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).
Lung tumor segmentation with the UNet model.
Polyp Segmentation with high accuracy
Image Segmentaion using Deep learning
This repository is created for on-device real time hand segmentation in video footage.
This repository consist of an implementation of UNit Architecture.
This is a project on semantic image segmentation using CamVid dataset, implemented through the FastAI framework.
A Unet semantic segmentation workflow for working with TPS files
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