abidsarwar Goto Github PK

3dunetgsformer_wetland_mapping

Here are the codes for the "3DUNetGSFormer: A deep learning pipeline for complex wetland mapping using generative adversarial networks and Swin transformer" paper.

abidsarwar

Config files for my GitHub profile.

agml

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.

agrifieldnet_india_competition

agroml

Tool for estimating and forecasting agrometeorological variables

agweather-qaqc

Visualized QA/QC of weather station data

ai-expert-roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2022

ai4water

framework for developing machine (and deep) learning models for structured data

aquacrop

AquaCrop-OSPy: Python implementation of AquaCrop-OS

as-one_yolo_tracker

Easy & Modular Computer Vision Detectors and Trackers - Run YOLOv7,v6,v5,R,X in under 20 lines of code.

attention-mechanism-unet

An Attention-Based U-Net for Detecting Deforestation Within Satellite Sensor Imagery.

awesome-remote-sensing-foundation-models

awesome-spectral-indices

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

bap

Best Available Pixel calculation using Google Earth Engine

basic_cnns_tensorflow2

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

cmip6-downscaling

Climate downscaling using CMIP6 data

cmip6-temperature-demo

Tutorials for basic analysis of CMIP6 climate models on the Google Cloud Platform.

cnn

cnn-lstm_for_dsm

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"

cnn_lstm_ca

This repository is used for the paper "A Hybrid Cellular Automata Model Integrated with Deep Learning for Dynamic Spatio-temporal Land Use Change Simulation"

comparsdmsquantifoverfitsuppinterpr_datapackage

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)

convlstm

cretaing_data_block_satellite_image_seg

Repository with the code (notebooks) and data (training patches) for the medium stories covering Fastai 2.

crop-mask

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

crop-stress-classification

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

Crop type mapping [deep learning] of small holder farms in Ghana, and South Sudan

crop-yield-prediction-and-estimation-using-time-series-remote-sensing-data.

We aim to build an ML model that will predict the yield of a crop using time series analysis of remote sensing data.

crop-yield-prediction-using-cnn-lstm-

Crop yield prediction on remote sensing data using CNN

crop-yield-prediction-using-satellite-imagery

crop_loss_identification