Popular GitHub Repositories for Flood Inundation

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

Flood detection from images using deep learning. Deep learning library KERAS was employed and MobileNet architecture was fine-tuned for image classification task.

Using Machine Learning algorithms to predict the chances of Flood in the state of Kerala.

Flood warning using RNN and clustering on live water level data

Flood Fill Network for 3d Electron Microscopy volume neuron segmentation. Adapt from google FFN-master add notes and custom variation and parallelization (for windows and our retina & LGN data)

Implementation of FGSM (Fast Gradient Sign Method) attack on fine-tuned MobileNet architecture trained for flood detection in images.

This project leverages TensorFlow and Keras to build and train a neural network model for predicting flood probability based on various environmental and socio-economic factors.

IceWatch: Glacial Lake Outburst Flood (GLOF) Prediction System Using Deep Learning. Now live at (try using it in light mode)

IceWatch: Glacial Lake Outburst Flood (GLOF) Prediction System Using Deep Learning. Now live at (try using it in light mode)

Flood-Image-Detection is a vision-language encoder model fine-tuned from google/siglip2-base-patch16-512 for binary image classification. It is trained to detect whether an image contains a flooded scene or non-flooded environment. The model uses the SiglipForImageClassification architecture.

EMSUGI is a future prediction & analysis project on various factor like flood, earth quake, disease occurred on your neighborhood location.

Predicte the urban flooding based on the LightGBM model

Repo containing model training on high resolution flood response drone RGB drone imagery with pytorch and semantic segmentation models.