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University of Konstanz
- Konstanz/Stuttgart
- systats.eu
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shinyuser Public
User login and admin panel for shiny apps (Semantic UI)
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roll Public
Forked from jasonjfoster/rollFast and efficient computation of rolling and expanding statistics for time-series data.
C++ UpdatedDec 13, 2020 -
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poker_ai Public
Forked from fedden/poker_ai🤖 An Open Source Texas Hold'em AI
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systemr Public
Forked from benjaminguinaudeau/systemrA small package that create an api to run system command outside rstudio
R UpdatedJun 29, 2020 -
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timevis Public
Forked from daattali/timevisThis is a fork upgraded on 4.21 of vis.js as shiny dependency thanks to ->
JavaScript Other UpdatedMar 10, 2020 -
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demdebates2020 Public
Forked from favstats/demdebates2020Transcripts of Democratic Debates as R Package
HTML GNU General Public License v3.0 UpdatedFeb 14, 2020 -
applied_bayesian Public
These are my personal course materials for: Applied Bayesian Inference - with Susumu Shikano, Constance
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chrome-cli Public
Forked from prasmussen/chrome-cliControl Google Chrome from the command line
Objective-C MIT License UpdatedDec 20, 2019 -
shiny.stats Public
Forked from Appsilon/shiny.telemetryShiny app usability logs and statistics
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talos Public
Forked from autonomio/talosHyperparameter Optimization for Keras Models
Python MIT License UpdatedNov 6, 2019 -
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fontawesome Public
Forked from rstudio/fontawesomeEasily insert FontAwesome icons into R Markdown docs and Shiny apps
R Other UpdatedSep 2, 2019 -
sportmonks Public
An R wrapper for the Sportmonks Soccer API www.sportmonks.com
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Metrics Public
Forked from mfrasco/MetricsAn R package for common supervised machine learning metrics.
R Other UpdatedMay 10, 2019 -
r_intro Public
This is a one day introduction course for social scientists to computational concepts in R.
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nlp-tutorial Public
Forked from graykode/nlp-tutorialNatural Language Processing Tutorial for Deep Learning Researchers
Jupyter Notebook MIT License UpdatedMar 24, 2019 -
textlearnR Public
A simple collection of well working NLP models (Keras, H2O, StarSpace) tuned and benchmarked on a variety of datasets.
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