mthrun Goto Github PK
Type: User
Company: IAP-GmbH
Bio: Dr. habil. Michael C. Thrun, promovierte 2017 an der Philipps-Universität Marburg unter Prof. Dr. habil. Alfred Ultsch und habiltierte 2022 im Fach Informatik.
Type: User
Company: IAP-GmbH
Bio: Dr. habil. Michael C. Thrun, promovierte 2017 an der Philipps-Universität Marburg unter Prof. Dr. habil. Alfred Ultsch und habiltierte 2022 im Fach Informatik.
ABC Analysis computes optimal limits by exploiting the mathematical properties pertaining to distribution of analyzed items. The data containing positive values is divided into three disjoint subsets A, B and C, with subset A comprising very profitable values, i.e. largest data values ("the important few").
Multimodal distributions can be modelled as a mixture of components. The model is derived using the Pareto Density Estimation (PDE) for an estimation of the pdf. PDE has been designed in particular to identify groups/classes in a dataset. Precise limits for the classes can be calculated using the theorem of Bayes.
Interactive Gaussian Mixture Modeling in 2D
Bioinformatic Distances
Common Supervised Maschine Learning algorithms
Open source code for the extended abstract of the journal track of the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020)
The Databionic swarm is an unsupervised machine learning method for cluster analysis and the visualization of structures of high-dimensional data.
A collection of various visualizations methods is provided. The flagship is explorative data science using distribution analysis and PDE-optimized violin plots.
IO Handling for Files Containing Data
Databionics Toolbox for the Analysis of Fluorescence-Activated Cell Sorting (FACS) Data
Vergleich der Deep-Learning-Ansätze “YOLO” und “R-CNN” für den Bereich der bildbasierten Objekterkennung
Functions For Different Distance Measures
Several quality measurements for investigating the performance of dimensionality reduction methods are provided here. In addition a new quality measurement called Gabriel classification error is made accessible.
An explainable AI (XAI) frame based on swarm intelligence is introduced and applied on the use case of multivariate time series in order to explain states of water bodies.
The Fundamental Clustering Problems Suite (FCPS) summaries 54 state-of-the-art clustering algorithms, common cluster challenges and estimations of the number of clusters as well as the testing for cluster tendency.
Lecture and materials of a talk given at the Kiel University of Applied Sciences
Credible Visualization for Two-Dimensional Projections of Data
Neighborhood Graphs for Lectures of Knowledge Discovery
ImageProcessing package for the lecture about deep learning for Object detection
Code snippets from the meetings of the Marburg R User Group
Vortrag und Unterlagen
Nonparametric naiv bayes classifier using pareto density estimation as well as a parametric naiv bayes classifier using robustly estimated mean and standard deviation.
Sources for docs.pickit3d.com
A clustering approach for every projection method based on the generalized U*-matrix visualization of a topographic map
Hidden Markov Models
Reinforcement Learning with Applications of Intelligent Agents
The tool allows the user to perform two variants of two-dimensional density estimation, namely SDH and PDE.
Time Series Analysis Tools (TSAT) can be used to describe event-pattern detection as a part of Complex event processing (CEP) for categorial time series and gives several approaches for numerical times series, like Filtering through FFT, WVT or predictions (e.g. compound model).
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.