Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Sits | 415 | 4 months ago | 11 | January 28, 2022 | 19 | gpl-2.0 | R | |||
Satellite image time series in R | ||||||||||
Satellite Imagery Datasets Containing Ships | 340 | a month ago | mit | |||||||
A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks. | ||||||||||
Torchsat | 285 | 4 years ago | 4 | April 20, 2018 | 3 | mit | Python | |||
🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch. | ||||||||||
Geospatial Machine Learning | 196 | 6 years ago | mit | |||||||
A curated list of resources focused on Machine Learning in Geospatial Data Science. | ||||||||||
Satellite_imagery_analysis | 123 | 2 years ago | 2 | gpl-3.0 | Jupyter Notebook | |||||
Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data. | ||||||||||
Hyperspectral_image_analysis_simplified | 77 | 3 years ago | 1 | gpl-3.0 | Jupyter Notebook | |||||
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery. | ||||||||||
Urban Environments | 63 | 6 years ago | 2 | Jupyter Notebook | ||||||
Code for constructing the urban environments dataset and for land use classification via convolutional neural networks | ||||||||||
Deep Learning For Satellite Imagery | 48 | 6 years ago | 4 | Jupyter Notebook | ||||||
Deep learning courses and projects | ||||||||||
Xview2_solution | 39 | 4 years ago | apache-2.0 | Python | ||||||
2nd place solution for Xview2 challenge https://xview2.org/ | ||||||||||
Lightweight Temporal Attention Pytorch | 23 | 4 years ago | n,ull | mit | Python | |||||
A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification |