jakob-bach Goto Github PK
Name: Jakob Bach
Type: User
Bio: PhD student at KIT, Karlsruhe.
Location: Karlsruhe
Name: Jakob Bach
Type: User
Bio: PhD student at KIT, Karlsruhe.
Location: Karlsruhe
The programming exercises for the lecture "Big Data Analytics" at the Karlsruhe Institute of Technology (KIT), winter term 2020/2021.
The supervisor repo for task 1 of the "Analyzing Big Data Laboratory Course" at the Karlsruhe Institute of Technology (KIT), summer term 2019.
The supervisor repo for task 2 of the "Analyzing Big Data Laboratory Course" at the Karlsruhe Institute of Technology (KIT), summer term 2019.
The supervisor repo for the "Analyzing Big Data Laboratory Course" at the Karlsruhe Institute of Technology (KIT), summer term 2020.
Code for the papers "Finding Optimal Diverse Feature Sets with Alternative Feature Selection" and "Alternative Feature Selection with User Control".
Code for the paper "Analyzing and Predicting Verification of Data-Aware Process Models -- a Case Study with Spectrum Auctions".
Code for the paper "An Empirical Evaluation of Constrained Feature Selection".
Code for the paper "Using Constraints to Discover Sparse and Alternative Subgroup Descriptions".
Besides its original purpose, demonstrates how to create a REST API with R and run it as a (parallelized) service.
Code for Section 2 of the paper "Data-driven exploration and continuum modeling of dislocation networks".
The exercises for the lecture "Data Science I" at the Karlsruhe Institute of Technology (KIT), winter term 2021/2022.
The supervisor repo for the "Data Science Laboratory Course" at the Karlsruhe Institute of Technology (KIT), summer term 2021.
The supervisor repo for the "Data Science Laboratory Course" at the Karlsruhe Institute of Technology (KIT), summer term 2022.
The supervisor repo for the "Data Science Laboratory Course" at the Karlsruhe Institute of Technology (KIT), summer term 2023.
An R package containing dissimilarity measures and aggregation functions for time series, plus cluster validity indices. Part of the code for the paper "Understanding the Effects of Temporal Energy-Data Aggregation on Clustering Quality".
Code for the paper "Understanding the Effects of Temporal Energy-Data Aggregation on Clustering Quality".
A group repo for the practical course "Model-Driven Software Development" at the Karlsruhe Institute of Technology (KIT), summer term 2016.
Code for the suspended paper/project "Meta-Learning Feature Importance".
Code and text for the suspended paper/project "Predicting Satisfiability of Benchmark Instances".
Code and text for the paper "A Comprehensive Study of k-Portfolios of Recent SAT Solvers".
Demonstration of some MIP/SAT/SMT solvers/optimizers in multiple programming languages.
Code for the suspended research project "Tournament Feature Selection".
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.