| obss/sahi |
3,340 |
|
0 |
12 |
about 2 years ago |
101 |
November 05, 2023 |
11 |
mit |
Python |
| Framework agnostic sliced/tiled inference + interactive ui + error analysis plots |
| azavea/raster-vision |
1,956 |
|
0 |
7 |
about 2 years ago |
11 |
October 17, 2023 |
42 |
other |
Python |
| An open source library and framework for deep learning on satellite and aerial imagery. |
| ternaus/TernausNetV2 |
500 |
|
0 |
0 |
almost 6 years ago |
0 |
|
14 |
bsd-3-clause |
Jupyter Notebook |
| TernausNetV2: Fully Convolutional Network for Instance Segmentation |
| developmentseed/label-maker |
358 |
|
0 |
0 |
over 5 years ago |
18 |
November 19, 2020 |
40 |
mit |
Python |
| Data Preparation for Satellite Machine Learning |
| sshuair/torchsat |
285 |
|
0 |
0 |
over 5 years ago |
4 |
April 20, 2018 |
3 |
mit |
Python |
| 🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch. |
| manideep2510/eye-in-the-sky |
248 |
|
0 |
0 |
over 3 years ago |
0 |
|
6 |
apache-2.0 |
Python |
| Satellite Image Classification using semantic segmentation methods in deep learning |
| deepVector/geospatial-machine-learning |
196 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
mit |
|
| A curated list of resources focused on Machine Learning in Geospatial Data Science. |
| karolzak/keras-unet |
194 |
|
0 |
0 |
about 5 years ago |
7 |
July 27, 2020 |
8 |
mit |
Python |
| Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks |
| nasa/delta |
169 |
|
0 |
0 |
over 3 years ago |
0 |
|
2 |
apache-2.0 |
Python |
| Deep Learning for Satellite Imagery |
| biasvariancelabs/aitlas |
157 |
|
0 |
0 |
almost 3 years ago |
0 |
|
2 |
apache-2.0 |
Python |
| AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images. |
