Lotus08's Stars
johntruckenbrodt/pyroSAR
framework for large-scale SAR satellite data processing
tody411/NPR-SFS
NPR Shape-From-Shading techniques.
satellite-image-deep-learning/techniques
Techniques for deep learning with satellite & aerial imagery
cogeotiff/rio-cogeo
Cloud Optimized GeoTIFF creation and validation plugin for rasterio
Newmu/dcgan_code
Deep Convolutional Generative Adversarial Networks
ECMWFCode4Earth/wildfire-forecasting
Forecasting wildfire danger using deep learning.
fMoW/second_place_solution
fMoW/first_place_solution
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
ChenXi1992/DeepSolar
Detect the solar panel on satellite image
PermanentPon/how_to_deploy_a_keras_model_to_production
This is the code for the "How to Deploy a Keras Model to Production" by Siraj Raval on Youtube
charlotte-pel/temporalCNN
Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series
simongrest/farm-pin-crop-detection-challenge
8th place solution to Zindi's FarmPin Crop Detection Challenge
calebrob6/land-cover
Code for training and testing deep learning based land cover models.
microsoft/landcover
Land Cover Mapping
qubvel/segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
ecohealthalliance/fasterize
High performance raster conversion for modern spatial data 🚀🌏▦
yoshall/UrbanFM
Pytorch Implementation of Urban Flow Magnifier (UrbanFM), KDD-19
qwertyquerty/collision
Collision is a python library meant for collision detection between convex and concave polygons, circles, and points.
Chandler/planet-labs-cookbook
planet labs api tutorial
Nowosad/geopat2
GeoPAT 2 - a suite of modules dedicated to analysis of large datasets in their entirety using spatial and/or temporal patterns
allarddenis/time-series-pattern-recognition
Generated python code analysing time series and extracting patterns from it.
imbs-hl/ranger
A Fast Implementation of Random Forests
thengl/GeoMLA
Machine Learning algorithms for spatial and spatiotemporal data
Nowosad/geostat18-links
Links and slides from GEOSTAT2018
keplergl/kepler.gl
Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.
scikit-tda/kepler-mapper
Kepler Mapper: A flexible Python implementation of the Mapper algorithm.
pbugnion/gmaps
Google maps for Jupyter notebooks
instacart/lore
Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers
uber/h3-java
Java bindings for H3, a hierarchical hexagonal geospatial indexing system