| 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. |
| e-sensing/sits |
415 |
|
0 |
0 |
over 2 years ago |
11 |
January 28, 2022 |
19 |
gpl-2.0 |
R |
| Satellite image time series in R |
| 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. |
| 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. |
| 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. |
| adrianalbert/urban-environments |
63 |
|
0 |
0 |
almost 8 years ago |
0 |
|
2 |
|
Jupyter Notebook |
| Code for constructing the urban environments dataset and for land use classification via convolutional neural networks |
| shakasom/Deep-Learning-for-Satellite-Imagery |
48 |
|
0 |
0 |
over 7 years ago |
0 |
|
4 |
|
Jupyter Notebook |
| Deep learning courses and projects |
| VSainteuf/lightweight-temporal-attention-pytorch |
23 |
|
0 |
0 |
almost 6 years ago |
0 |
|
|
mit |
Python |
| A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification |
| zia207/Deep-Neural-Network-with-keras-Python-Satellite-Image-Classification |
20 |
|
0 |
0 |
almost 8 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Deep Neural Network with keras(TensorFlow GPU backend) Python: Satellite-Image Classification |
| subhajitchaudhury/deephypercnn |
19 |
|
0 |
0 |
about 9 years ago |
0 |
|
3 |
mit |
Matlab |
| Classification of Hyperspectral Satellite Image Using Deep Convolutional Neural Networks |
