Pinned Repositories
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
contrastive-unpaired-translation
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
DeepSatModels
Deep learning models for remote sensing applications
earthengine-community
Tutorials and content created by Earth Engine users, for Earth Engine users
EE-Examples
EEUS2018-JupyterSession
Jupyter notebooks for the Python session of the 2018 Earth Engine User Summit.
ESIP2018-EE
Jupyter Notebooks for the Earth Engine / Jupyter session at the 2018 ESIP Summer Meeting (http://meetings.esipfed.org).
example-scripts
Example scripts originally derived from Prof. Dana Tomlin's handouts for his course on Geospatial Software Design. Shared with his permission.
fq_modelling_2018
Working repository for grassland FQ modelling with HS data
jmatics's Repositories
jmatics/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
jmatics/contrastive-unpaired-translation
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
jmatics/DeepSatModels
Deep learning models for remote sensing applications
jmatics/earthengine-community
Tutorials and content created by Earth Engine users, for Earth Engine users
jmatics/EE-Examples
jmatics/EEUS2018-JupyterSession
Jupyter notebooks for the Python session of the 2018 Earth Engine User Summit.
jmatics/ESIP2018-EE
Jupyter Notebooks for the Earth Engine / Jupyter session at the 2018 ESIP Summer Meeting (http://meetings.esipfed.org).
jmatics/example-scripts
Example scripts originally derived from Prof. Dana Tomlin's handouts for his course on Geospatial Software Design. Shared with his permission.
jmatics/fq_modelling_2018
Working repository for grassland FQ modelling with HS data
jmatics/grassland_2018
Grassland field work in 2018.
jmatics/rs-semantic-segmentation
A collaborative working space for developing methods for remote sensing image semantic segmentation
jmatics/hexagon_tiles
Create new hexagon tile data for administrative boundaries
jmatics/jblog
Personal website for Jayan Wijesingha
jmatics/keras-unet-collection
The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.
jmatics/landsat-croptype-spatial-temporal-transferability
jmatics/LULCMapping-WV3images-CORINE-DLMethods
Land Use and Land Cover Mapping Using Deep Learning Based Segmentation Approaches and VHR Worldview-3 Images
jmatics/Multiclass-Segmentation-in-Unet
Multiclass segmentation on the Oxford-IIIT Pet dataset using the U-Net dataset.
jmatics/point_cloud
This repository contains the codes for laser scanner poin cloud and photoscan point cloud processing for biomass estimation.
jmatics/python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
jmatics/quickR
jmatics/radar_wetlands
:satellite: Scripts written for radar data processing. Supplementary material for my paper called 'Monitoring surface water cover change in Hungarian wetlands with Sentinel-1 radar using Google Earth Engine'
jmatics/rmarkdown_ioslides_GNR
jmatics/SelfMedMAE
Code for ISBI 2023 paper "Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation"
jmatics/timematch
A method to perform unsupervised cross-region adaptation of crop classifiers trained with satellite image time series.
jmatics/wvview_geodl_examples
Deep learning examples for geospatial deep learning