jmatics Goto Github PK
Name: jmatics
Type: User
Name: jmatics
Type: User
A curated list of awesome Machine Learning frameworks, libraries and software.
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
Deep learning models for remote sensing applications
Tutorials and content created by Earth Engine users, for Earth Engine users
Jupyter notebooks for the Python session of the 2018 Earth Engine User Summit.
Jupyter Notebooks for the Earth Engine / Jupyter session at the 2018 ESIP Summer Meeting (http://meetings.esipfed.org).
Example scripts originally derived from Prof. Dana Tomlin's handouts for his course on Geospatial Software Design. Shared with his permission.
Working repository for grassland FQ modelling with HS data
Grassland field work in 2018.
Create new hexagon tile data for administrative boundaries
Personal website for Jayan Wijesingha
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.
Land Use and Land Cover Mapping Using Deep Learning Based Segmentation Approaches and VHR Worldview-3 Images
Multiclass segmentation on the Oxford-IIIT Pet dataset using the U-Net dataset.
This repository contains the codes for laser scanner poin cloud and photoscan point cloud processing for biomass estimation.
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
: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'
A collaborative working space for developing methods for remote sensing image semantic segmentation
Code for ISBI 2023 paper "Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation"
A method to perform unsupervised cross-region adaptation of crop classifiers trained with satellite image time series.
Deep learning examples for geospatial deep learning
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.