Chathumal Weththasinghe (chathumal93)

chathumal93

Geek Repo

Company:@gicait

Location:Sri Lanka

Home Page:https://chathumal93.github.io/

Twitter:@Chathumal93

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gicait

Chathumal Weththasinghe's repositories

Pytorch-UNet-Flood-Segmentation

This repository contains a PyTorch implementation of a U-Net model for segmenting water areas (flood and permananet water) in Sentinel-1 satellite images.

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Remote-Sensing-for-Biomass-Estimation

This repository includes biomass estimation workflows using remote sensing data including capacity building materials.

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ALOS2-Flood-Mapping

This repository includes an automatic statistical-based flood mapping approach for ALOS2 Level 2.1 data. Additionally, this method of flood extraction utilizes Google Earth Engine's open data and processing capabilities.

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ADB-EARR-T4

This repository includes the material for the Building Stability Monitoring Session of Remote Sensing and Geospatial Technology for Reconstruction Monitoring Training - Module 4 (Landslide, Building Monitoring and Infrastructure Stability).

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awesome-sar

A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.

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EuroSat-RGB-Classifiers

This repository contains three different models (ResNet-18, ResNet-50, and ViT-Base-Patch16-224) fine-tuned on the EuroSAT dataset, along with their performance comparisons.

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awesome-compose

Awesome Docker Compose samples

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cornell-cs5785-applied-ml

Teaching materials for the applied machine learning course at Cornell Tech

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Deep-Learning-with-TensorFlow-and-Keras-3rd-edition

Deep Learning with TensorFlow and Keras – 3rd edition, Published by Packt

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devops-directive-docker-course

Companion repo for complete Docker course

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dl-fundamentals

Deep Learning Fundamentals -- Code material and exercises

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satellite-image-deep-learning

Resources for deep learning with satellite & aerial imagery

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scikit-learn-mooc

scikit-learn-mooc

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gis-programming-roadmap

One stop shop for all your GIS Programming needs

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segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

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