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Name: DIP
Type: Organization
Bio: Digital - Remote Sensing & Medical - Image Processing
Location: ECUT
Name: DIP
Type: Organization
Bio: Digital - Remote Sensing & Medical - Image Processing
Location: ECUT
U-IMG2DSM: Unpaired Simulation of Digital Surface Models with Generative Adversarial Networks
Interactive tools for spectral mixture analysis of multispectral raster data in Python
Unstructured Change detection in satellite imagery
machine learning project group 5
My custom Google Earth Engine scripts for work with Landsat, Sentinel and other satellite data.
Image segmentation Using Various Fuzzy C-means Algorithms (FCM, EnFCM, MFCM).
Calculates vegetation cover and some geographical information for a given file in the server (preexisting).
Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"
Unsupervised Learning for Image Registration
An unofficial PyTorch implementation of VoxelMorph- An unsupervised 3D deformable image registration method
Design a fusion method for infrared and visible image based on a improved WGAN.
This is my Guided Research Project done at German Research Center for AI
Automatically exported from code.google.com/p/whitebox-geospatial-analysis-tools
Wiener Filtering for Noise Removal in Matlab
PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", CVPR 2017
🩺 Analysing Deep Learning Methods for X Ray Image Analysis
ConvNet (CNN) implementation to classify x-ray medical images
Chemical imaging of materials using X-ray absorbance spectroscopy
X-ray image analyis toolbox
Deep learning toolbox for x-ray imaging
Extremely fast evaluation of the extrinsic clustering measures: various (mean) F1 measures and Omega Index (Fuzzy Adjusted Rand Index) for the multi-resolution clustering with overlaps/covers, standard NMI, clusters labeling
Unsupervised Anomaly Detection for X-Ray Images
Larch: Applications and Python Library for Data Analysis of X-ray Absorption Spectroscopy (XAS, XANES, XAFS, EXAFS), X-ray Fluorescence (XRF) Spectroscopy and Imaging, and more.
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.