| cogeotiff/rio-tiler |
460 |
|
5 |
13 |
about 2 years ago |
144 |
November 29, 2023 |
10 |
bsd-3-clause |
Python |
| User friendly Rasterio plugin to read raster datasets. |
| cogeotiff/rio-cogeo |
276 |
|
4 |
20 |
about 2 years ago |
65 |
December 11, 2023 |
7 |
bsd-3-clause |
Python |
| Cloud Optimized GeoTIFF creation and validation plugin for rasterio |
| pudae/kaggle-understanding-clouds |
147 |
|
0 |
0 |
over 6 years ago |
0 |
|
9 |
bsd-2-clause |
Python |
| Code for 1st place solution in Understanding Clouds from Satellite Images Challenge. |
| banzaicloud/satellite |
45 |
|
0 |
0 |
about 4 years ago |
0 |
|
1 |
apache-2.0 |
Go |
| Determine your cloud provider with a simple HTTP call |
| JacobJeppesen/RS-Net |
44 |
|
0 |
0 |
over 4 years ago |
0 |
|
19 |
mit |
Jupyter Notebook |
| RS-Net is a cloud detection algorithm for satellite imagery |
| mapbox/rio-cloudmask |
36 |
|
0 |
0 |
almost 9 years ago |
3 |
September 07, 2016 |
7 |
mit |
Python |
| Rasterio plugin for identifying clouds in multi-spectral satellite imagery |
| openclimatefix/predict_pv_yield |
33 |
|
0 |
0 |
about 4 years ago |
0 |
|
42 |
mit |
Jupyter Notebook |
| Using optical flow & machine learning to predict PV yield |
| naivelamb/kaggle-cloud-organization |
20 |
|
0 |
0 |
almost 6 years ago |
0 |
|
6 |
bsd-2-clause |
Python |
| Code for 3rd place solution in Understanding Clouds from Satellite Images Challenge. |
| yukkyo/Kaggle-Understanding-Clouds-69th-solution |
19 |
|
0 |
0 |
over 3 years ago |
0 |
|
7 |
|
Python |
| 69th(Silver) Solution of "Understanding Clouds from Satellite Images | Kaggle" with PyTorch-Lightning |
| anubhavmishra/terraform-github-actions-demo |
19 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
mpl-2.0 |
HTML |
| HashiCorp Terraform Github Actions Demo for Github Satellite 2020. |
