grseb9s Goto Github PK
Name: GRS
Type: Organization
Bio: Geosciences & Remote Sensing
Location: ECUT
Name: GRS
Type: Organization
Bio: Geosciences & Remote Sensing
Location: ECUT
Modeling and Simulating the Evolution of Rural Settlements Using Probability-based Cellular Automata
ESA Sentinel Search & Download API
statistics and classes for exploratory spatial data analysis
A user-friendly spatial tool with a web-based interface that allows users to import SDM layers and create and explore ensemble predictions to inform management and explore spatial uncertainties
ESPA modules for cloud masking
ESPA module for product formatting
Tools to evaluate object detection results using the KITTI dataset.
Task was to implement classification model that predict probability that a person X will buy a product Y. Dataset contains various features of X's past activities and activities of people who buy Y. Random forest and decision tree classifier model is trained for given training dataset. model is evaluated using various metrics like overall_accuracy, confusion matrix, recall_accuracy. Depending on the score right model is chosen for prediction task.
ELKI Example Project
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
The Excel add-in for creating LaTeX tables
A MATLAB toolbox for exporting publication quality figures
Remote sensed hyperspectral image classification with Spectral-Spatial information provided by the Extended Morphological Profiles
ELKI ph-tree add-on
Scripts and code relevant to the SWIR and VNIR cameras.
Placeholder for some ideas about OpenStreetMap extracts
Building Facade-based City Classification from Aerial-View Images
a novel face hallucination algorithm to synthesize a high-resolution face image from several low-resolution input face images. Face hallucination normally uses twomodels: a global parametricmodel which synthesizes the global face shapes from eigenfaces, and a local parametric model which enhances the local high frequency details.We follow a similar process to develop a robust face hallucination algorithm. First, we obtain eigenfaces from a number of low resolution face images segmented from a video sequence using a face tracking algorithm. Then we compute the difference between an interpolated low-resolution face and a mean face, and use this difference as the query to retrieve an approximate sparse eigenface representation. The eigenfaces are combined using the coefficients obtained from the sparse representation and added into the interpolated low-resolution face. In this way, the global shape of the interpolated low resolution face can be successfully enhanced. Second, we improve the example-based super-resolution method for local high frequency information enhancement. Our proposed algorithm uses the Approximate Nearest Neighbors (ANN) search method to find a number of nearest neighbors for a stack of queries, instead of finding the exact match for each low frequency patch. Median filtering is used to remove the noise from the nearest neighbors in order to enhance the signal. Our proposed algorithm uses a sparse representation and the ANN method to enhance both global face shape and local high frequency information while greatly improving the processing speed, as confirmed empirically.
Face landmarks(fiducial points) detection benchmark
FaceRadar is an Autopsy ingest module that uses OpenCV to detect faces in image files.
Implementing Siamese networks with a contrastive loss for similarity learning
FACTORIE is a toolkit for deployable probabilistic modeling, implemented as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference.
Detection of Shadows From Multispectral Satellite Images
Functional ANOVA
A MNIST-like fashion product database. Benchmark :point_right:
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.