cc-ai / mila-simulated-floodsLinks
☆20Updated 3 years ago
Alternatives and similar repositories for mila-simulated-floods
Users that are interested in mila-simulated-floods are comparing it to the libraries listed below
Sorting:
- Implementation of an out-of-distribution detection method for geospatial deployments and its related experiments.☆25Updated 8 months ago
- Starter-pack for the AI4EO Food Security Challenge☆21Updated 2 years ago
- Models for the EarthNet2021 challenge.☆46Updated last month
- Lightweight Python application for sorting images in your dataset☆21Updated 3 years ago
- This repository contains the files for running the Patchify GUI.☆11Updated 3 years ago
- Rapid map creation with machine learning and earth observation data.☆76Updated 10 months ago
- ☆25Updated 3 years ago
- Official code for Unsupervised Change Detection of Extreme Events Using ML On-Board☆54Updated last year
- U-Net semantic segmentation for satellite imagery☆27Updated 2 years ago
- This repo contains code for detecting poultry barns from high-resolution aerial imagery and an accompanying dataset of predicted barns ov…☆37Updated 2 years ago
- Exploiting ConvNet Diversity for Flooding Identification -- Flood Detection in Satellite Images [FDSI] -- [2017 Multimedia Satellite Task…☆15Updated 6 years ago
- Land Use and Land Cover Mapping Using Deep Learning Based Segmentation Approaches and VHR Worldview-3 Images☆19Updated 3 years ago
- Pytorch dataloader and pytorch lightning datamodule for Earth Observation imagery☆15Updated 3 years ago
- Code Repository for: "Characterization of Industrial Smoke Plumes from Remote Sensing Data", presented at Tackling Climate Change with Ma…☆42Updated 4 years ago
- Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing☆25Updated 3 years ago
- A simple script to create geo-tagged image chips from high-resolution RS images for training deep learning models such as U-net.☆14Updated 4 years ago
- Winners of the STAC Overflow: Map Floodwater from Radar Imagery competition☆52Updated 2 years ago
- ODEON is a task-agnostic framework for deep learning applied to remote sensing☆22Updated last week
- 🛰️ Process raster data in python☆23Updated last month
- ☆73Updated last year
- Advanced raster and geometry manipulations☆39Updated 9 months ago
- 📡 PyTorch Lightning Implementations of Recent Satellite Image Classification !☆75Updated 2 years ago
- ☆32Updated 6 years ago
- A neural gym for training deep learning models to carry out geoscientific image segmentation. Works best with labels generated using http…☆51Updated 2 months ago
- Dataset for training and evaluating tree detectors in urban environments with aerial imagery☆38Updated last year
- Enhancement of MODIS NIDVI to 10m resolution using U-Net☆30Updated 2 years ago
- The Active Learning for Cloud Detection (ALCD) software enables to generate reference cloud masks which may be used to validate operation…☆17Updated 2 weeks ago
- All the useful tools I have been using while working in data science for remote sensing☆11Updated 5 years ago
- PyTorch EO aims to make Deep Learning for Earth Observation data easy and accessible to real-world cases and research alike.☆47Updated 4 months ago
- ☆45Updated 2 years ago