alexvmt

alexvmt's Stars

• openforis/sepal

  Geographical Data Processing in the Cloud

  Language:JavaScript20546

• TeamEpochGithub/iv-q2-detect-kelp

  1st place solution of Team Epoch on the Kelp Wanted competition hosted on DrivenData.

  Language:Jupyter Notebook151

• awesome-spectral-indices/awesome-spectral-indices

  A ready-to-use curated list of Spectral Indices for Remote Sensing applications.

  Language:Python833137

• awesome-spectral-indices/spyndex

  Awesome Spectral Indices in Python.

  Language:Python18520

• robertleeplummerjr/Leaflet.glify

  fully functional, ridiculously fast web gl renderer plugin for leaflet

  Language:TypeScript47284

• r-spatial/leafgl

  R package for fast web gl rendering for leaflet

  Language:R26331

• mbonnema/GoogleEarthEngine

  Google Earth Engine Tutorial

  Language:JavaScript41

• movestore/MorningReport

  Language:R12

• GeneralMills/pytrends

  Pseudo API for Google Trends

  Language:Python3.2k809

• camelot-dev/camelot

  A Python library to extract tabular data from PDFs

  Language:Python2.9k461

• environ-mate/environ-mate.github.io

  Repository to deploy https://environ-mate.feld-m.de/

  Language:HTML2

• environ-mate/app

  Environ-Mate Web App Source Code

  Language:Vue21

• jakevdp/PythonDataScienceHandbook

  Python Data Science Handbook: full text in Jupyter Notebooks

  Language:Jupyter Notebook42.7k17.8k

• nasaharvest/openmapflow

  Rapid map creation with machine learning and earth observation data.

  Language:Python6683

• timeseriesAI/tsai

  Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

  Language:Jupyter Notebook5.1k635

• radiantearth/ml-workflow-examples

  Simple examples of data pipelines from xarray to ML training

  Language:Jupyter Notebook23

• sustainlab-group/ParcelDelineation

  Language:Python2810

• satellite-image-deep-learning/techniques

  Techniques for deep learning with satellite & aerial imagery

  8.4k1.4k

• Charly-tian/global-cropland-mapping

  using deep semantic segmentation networks for global multi-temporal cropland mapping from remote sensing big data

  117

• Akhilesh64/ResUnet-a

  Implementation of the paper "ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data" in TensorFlow.

  Language:Python3313

• simongrest/farm-pin-crop-detection-challenge

  8th place solution to Zindi's FarmPin Crop Detection Challenge

  Language:Jupyter Notebook13542

• nasaharvest/crop-mask

  End-to-end workflow for generating high resolution cropland maps

  Language:Jupyter Notebook10029

• nasaharvest/togo-crop-mask

  An LSTM to generate a crop mask for Togo

  Language:Python288

• github/renaming

  Guidance for changing the default branch name for GitHub repositories

  2.4k189

• lc82111/Keras_HED

  Holistically-Nested Edge Detection in Keras

  Language:Python13152

• chrieke/InstanceSegmentation_Sentinel2

  🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis

  Language:Jupyter Notebook388121

• chrieke/awesome-geospatial-companies

  :globe_with_meridians: List & Map of 700+ companies for geospatial jobs (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)

  Language:Python71277

• chrieke/awesome-satellite-imagery-datasets

  🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

  3.6k640

• MalteToetzke/Monitoring-Global-Development-Aid-With-Machine-Learning

  This repository contains the underlying code for the paper "Monitoring Global Development Aid with Machine Learning" by Toetzke, M.; N. Banholzer; and S. Feuerriegel.

  Language:Python123

• artefactory/medium_satellite_imagery

  Language:Jupyter Notebook125