Alternatives and similar repositories for coconuts

Users that are interested in coconuts are comparing it to the libraries listed below

• Geoyi / pixel-decoder
  A tool for running deep learning algorithms for semantic segmentation with satellite imagery
  ☆81Updated 2 years ago
• shakasom / Deep-Learning-for-Satellite-Imagery
  Deep learning courses and projects
  ☆95Updated 7 years ago
• shaystrong / sagely
  ML pipeline tutorials for OSM labels to AWS Sagemaker
  ☆26Updated 2 years ago
• tchambon / DeepSentinel
  Deep learning pretrained model on satellite imagery (Sentinel-2)
  ☆81Updated 6 years ago
• HyperionAnalytics / PyDataNYC2014
  "Analyzing Satellite Images With Python Scientific Stack" by Milos Miljkovic
  ☆76Updated 11 years ago
• fMoW / first_place_solution
  ☆45Updated 7 years ago
• azavea / raster-vision-examples
  Examples of using Raster Vision on open datasets
  ☆174Updated 5 years ago
• daveluo / zanzibar-aerial-mapping
  Open source notebooks to create state-of-the-art detection, segmentation, & classification of buildings on drone/aerial imagery with deep…
  ☆196Updated 5 years ago
• rhammell / shipsnet-detector
  Detect container ships in Planet imagery using machine learning
  ☆36Updated 5 years ago
• azavea / open-cities-ai-challenge-benchmark-model
  Benchmark model for DrivenData Open Cities AI Challenge
  ☆22Updated 5 years ago
• PlatformStories / notebooks
  GBDX Stories notebooks.
  ☆31Updated 8 years ago
• perrygeo / pyimpute
  Spatial classification and regression using Scikit-learn and Rasterio
  ☆128Updated 2 years ago
• DigitalGlobe / gbdxtools
  (Deprecated) Python SDK for using GBDX
  ☆75Updated 3 years ago
• brad-ross / crop-yield-prediction-project
  Understanding crop yield predictions from CNNs as our final project for CS231N
  ☆38Updated 8 years ago
• ctu-geoforall-lab / i.ann.maskrcnn
  Mask R-CNN in GRASS GIS
  ☆42Updated 4 years ago
• JohnNay / forecastVeg
  A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python
  ☆50Updated 4 years ago
• rhammell / planesnet-detector
  Detect airplanes in Planet imagery using machine learning
  ☆37Updated 5 years ago
• Oslandia / deeposlandia
  Migrated to: https://gitlab.com/Oslandia/deeposlandia
  ☆59Updated 5 years ago
• shakasom / rs-python-tutorials
  Remote sensing with Python tutorials
  ☆50Updated 5 years ago
• mapbox / rio-toa
  Top Of Atmosphere (TOA) calculations for Landsat 8
  ☆39Updated 4 years ago
• developmentseed / spacenet-data
  Scripts for setting up the SpaceNet dataset for training a SegNet model
  ☆43Updated 9 years ago
• parulnith / Satellite-Imagery-Analysis-with-Python
  Getting acquainted with the concept of satellite imagery data and how it can be analyzed to investigate real-world environmental and huma…
  ☆50Updated 7 years ago
• NRCan / geo-deep-learning
  Deep learning applied to georeferenced datasets
  ☆188Updated last week
• Azure / pixel_level_land_classification
  Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery…
  ☆281Updated 6 years ago
• tavgreen / landuse_classification
  Land Use Classification using Convolutional Neural Network in Keras
  ☆52Updated 8 years ago
• earthlab / tutorials
  Tutorials for spatial data processing and analysis in R and Python
  ☆43Updated 6 years ago
• remicres / otbtf
  Deep learning with otb (mirror of https://forgemia.inra.fr/orfeo-toolbox/otbtf)
  ☆167Updated 7 months ago
• adrianalbert / urban-environments
  Code for constructing the urban environments dataset and for land use classification via convolutional neural networks
  ☆120Updated 7 years ago
• rhammell / planesnet
  Labeled training data for detection of aircraft in Planet satellite imagery
  ☆29Updated 5 years ago
• Element84 / robosat-jupyter-notebook
  A step-by-step Jupyter Notebook designed to learn the Robosat machine learning pipeline
  ☆27Updated 6 years ago