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.
Remote-Sensing-for-Biomass-Estimation
This repository includes biomass estimation workflows using remote sensing data including capacity building materials.
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.
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).
awesome-sar
A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.
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.
awesome-compose
Awesome Docker Compose samples
cornell-cs5785-applied-ml
Teaching materials for the applied machine learning course at Cornell Tech
Deep-Learning-with-TensorFlow-and-Keras-3rd-edition
Deep Learning with TensorFlow and Keras – 3rd edition, Published by Packt
devops-directive-docker-course
Companion repo for complete Docker course
dl-fundamentals
Deep Learning Fundamentals -- Code material and exercises
satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
scikit-learn-mooc
scikit-learn-mooc
gis-programming-roadmap
One stop shop for all your GIS Programming needs
segment-anything-2
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.