| developmentseed/label-maker |
358 |
|
0 |
0 |
over 5 years ago |
18 |
November 19, 2020 |
40 |
mit |
Python |
| Data Preparation for Satellite Machine Learning |
| 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 |
| reachsumit/deep-unet-for-satellite-image-segmentation |
155 |
|
0 |
0 |
over 6 years ago |
0 |
|
10 |
|
Python |
| Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet |
| ternaus/kaggle_dstl_submission |
146 |
|
0 |
0 |
almost 8 years ago |
0 |
|
3 |
mit |
Python |
| Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge |
| jensleitloff/CNN-Sentinel |
141 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
mit |
Python |
| Analyzing Sentinel-2 satellite data in Python with Keras (repository of our talks at Minds Mastering Machines 2019 and PyCon 2018) |
| dymaxionlabs/ap-latam |
23 |
|
0 |
0 |
about 6 years ago |
0 |
|
5 |
bsd-3-clause |
Jupyter Notebook |
| Detection of slums and informal settlements from satellite imagery |
| 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 |
| zia207/Satellite-Images-Classification-with-Keras-R |
12 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
|
R |
| Deep Neural Network with keras-R (TensorFlow GUP backend): Satellite-Image Classification |
