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Name: asuaf
Type: User
Name: asuaf
Type: User
Here are the codes for the "3DUNetGSFormer: A deep learning pipeline for complex wetland mapping using generative adversarial networks and Swin transformer" paper.
Config files for my GitHub profile.
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
Tool for estimating and forecasting agrometeorological variables
Visualized QA/QC of weather station data
Roadmap to becoming an Artificial Intelligence Expert in 2022
framework for developing machine (and deep) learning models for structured data
AquaCrop-OSPy: Python implementation of AquaCrop-OS
Recipes for reproducing Analysis-Ready & Cloud Optimized (ARCO) ERA5 datasets.
Easy & Modular Computer Vision Detectors and Trackers - Run YOLOv7,v6,v5,R,X in under 20 lines of code.
An Attention-Based U-Net for Detecting Deforestation Within Satellite Sensor Imagery.
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
Best Available Pixel calculation using Google Earth Engine
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
The Clay Foundation Model (in development)
Climate downscaling using CMIP6 data
Tutorials for basic analysis of CMIP6 climate models on the Google Cloud Platform.
Using CNN-LSTM deep learning model for digital soil mapping. This is the code for paper "Zhang et al. A CNN-LSTM model for soil organic carbon content prediction with long time series of MODIS-based phenological variables"
This repository is used for the paper "A Hybrid Cellular Automata Model Integrated with Deep Learning for Dynamic Spatio-temporal Land Use Change Simulation"
Package with data, scripts and plots for manuscript "A comparison of machine learning and statistical species distribution models: when overfitting hurts interpretation" (submitted to Ecological Modelling, Dec 2022)
Repository with the code (notebooks) and data (training patches) for the medium stories covering Fastai 2.
End-to-end workflow for generating high resolution cropland maps
This repository contains codes for the paper entitled "Classification of Crop Tolerance to Heat and Drought: A Deep Convolutional Neural Networks Approach"
Crop type mapping [deep learning] of small holder farms in Ghana, and South Sudan
We aim to build an ML model that will predict the yield of a crop using time series analysis of remote sensing data.
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.