abidsarwar Goto Github PK
Name: asuaf
Type: User
Name: asuaf
Type: User
Code release for "Cut and Learn for Unsupervised Object Detection and Instance Segmentation"
A python library for user-friendly forecasting and anomaly detection on time series.
Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
A CNN-RNN based model that identifies correlations between optical and SAR data and exports dense Normalized Difference Vegetation Index (NDVI) time-series of a static 6-day time resolution and can be used for Events Detection tasks
Deep learning approaches for statistical downscaling in climate
Deep learning models for remote sensing applications
Code for dengue risk forecasting
R package for statistical downscaling of daily data based on neural networks. This library integrates the deep learning package Keras in the climate4R framework
It is a tool for hydrologic modelling using the Budyko Framework and the Dynamic Water Balance Model, with DDS Tolson and Shoemaker (2007) algorithm to calibrate the model and analyze the outputs.
Python and JavaScript bindings for calling the Earth Engine API.
Tutorials and content created by Earth Engine users, for Earth Engine users
Repository to place example notebooks for Deep Learning applications with TensorFlow and Earth Engine.
Google Earth Engine Automated Annual Mapping of Irrigated Lands
Environmental data processing for www.emma.eco
ecosystem moisture stress index
Reproducing the "End-to-End Google Earth Engine" course using Jupyter Notebooks and geemap.
Enhancement of MODIS NIDVI to 10m resolution using U-Net
Earth Observation Data Analysis Library
Sample Jupyter notebooks for EOdal
Tutorials and Success Stories to work with the Earth Observation Data Analysis Library EOdal
Estimating_Irrigation_MachineLearning
Repository for my Master thesis project on estimation evapotranspiration through energy balance models and creating a Random Forest Classifier.
8th place solution to Zindi's FarmPin Crop Detection Challenge
Feature space plugin for QGIS. Visualize spectral feature space
Field delineation with Sentinel-2 data from Sentinel-Hub and a ResUnet-a architecture.
FIELDimageR: A R package to analyze orthomosaic images from agricultural field trials. This package is a compilation of functions to analyze pos-mosaicking images from research fields, and allows to: crop the image; remove soil effect; build vegetation indices; rotate the image; build the plot shapefile; extract information for each plot; and evalu
Package with new tools to support FIELDimageR software on evaluating GIS images from agriculture field trials.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.