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Update README.md
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@ -294,7 +294,6 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana
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## Deep Learning
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## Deep Learning
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* [Darknet](https://github.com/pjreddie/darknet) - Darknet is an open source neural network framework written in C and CUDA.
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* [Raster Vision](https://github.com/azavea/raster-vision) - An open source framework for deep learning on satellite and aerial imagery.
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* [Raster Vision](https://github.com/azavea/raster-vision) - An open source framework for deep learning on satellite and aerial imagery.
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* [AirNet](https://github.com/mathildor/TF-SegNet) - SegNet-like network implemented in TensorFlow to use for segmenting aerial images.
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* [AirNet](https://github.com/mathildor/TF-SegNet) - SegNet-like network implemented in TensorFlow to use for segmenting aerial images.
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* [TernausNetV2](https://github.com/ternaus/TernausNetV2) - TernausNetV2: Fully Convolutional Network for Instance Segmentation.
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* [TernausNetV2](https://github.com/ternaus/TernausNetV2) - TernausNetV2: Fully Convolutional Network for Instance Segmentation.
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* [PostGIS](http://www.postgis.us/downloads/postgis21_cheatsheet.pdf) - Cheat sheet for PostGIS.
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* [PostGIS](http://www.postgis.us/downloads/postgis21_cheatsheet.pdf) - Cheat sheet for PostGIS.
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* [PostGIS 2](https://gist.github.com/kidpixo/5698476)
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* [PostGIS 2](https://gist.github.com/kidpixo/5698476)
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* [PostGIS Raster](http://www.postgis.us/downloads/postgis20_raster_cheatsheet.pdf)
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* [PostGIS Raster](http://www.postgis.us/downloads/postgis20_raster_cheatsheet.pdf)
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* [GNU Parallel](https://www.gnu.org/software/parallel/parallel_cheat.pdf)
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## Data Sources
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## Data Sources
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