wanwanliang Goto Github PK
Name: Wanwan
Type: User
Company: UoU
Bio: RS, ML/DL, and geospatial analysis for Environment and Agriculture
Location: Cary
Name: Wanwan
Type: User
Company: UoU
Bio: RS, ML/DL, and geospatial analysis for Environment and Agriculture
Location: Cary
The following demo is associated with the following paper "A Fast 3D CNN for Hyperspectral Image Classification".
This repository contains the code for the paper "An unexpectedly large count of trees in the western Sahara and Sahel".
Applying point cloud deep learning to estimate tree aboveground biomass.
Python implementations of the Boruta all-relevant feature selection method.
R package to estimate leaf area density (LAD) and leaf area index (LAI) from airborne LiDAR point clouds
🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
HSI and LiDAR image fusion based on Deep Learning
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
Practical Deep Learning for Genomic Prediction: A Keras based guide to implement deep learning
This is the repository for the 'Remote Sensing of Environment' article: Deep point cloud regression for above-ground forest biomass estimation from airborne LiDAR
A collection of 300+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
A series of Jupyter notebook to learn Google Earth Engine with Python
Various examples for Google Earth Engine in Python using Jupyter Notebook
Quick, straight to the point tour on how to implement genomic prediction (GP) in R
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A keras based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".
This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
Hyperspectral Image Spatial Super-Resolution via 3D-Full-Convolutional-Neural-Network
Python tools for obtaining and working with ICESat-2 data
Material for the Intro To R Class
Implementations of ResNets for volumetric data, including a vanilla resnet in 3D.
The lidR package tutorials book :book:
Additional point cloud metrics to use with *_metric functions in lidR
Combinatorial Optimization with Genetic Algorithm (GA), Simulated Annealing (SA), Tabu Search (TS), and a hybrid of these algorithms
The Maxar Open Data STAC Catalog in CSV, GeoJSON, and MosaicJSON formats
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
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.