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ccc2018

cord-19-analysis

eeds

Recovery of temporal IoT sensor data using basic methods like ARIMA and exp smoothing

midosa

fancy multivariate data exploration tool after paper by VanDenElzen

ml-fun

ml_explainability

nlp-stealing

Knockoff nets for NLC models

py-readability-metrics

📗 Score text readability using a number of formulas: Flesch-Kincaid Grade Level, Gunning Fog, ARI, Dale Chall, SMOG, and more

rdf_transformation

solution for TU Vienna exercise (Semantic web technologies)

semsys

Playing around with Semantic Systems using the topic of travel destination selection

sos_ants_ga

Python implementations of AOC and Genetic algorithms for knapsack and tsp

spark-fm-parallelsgd

Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)

tud_mmc_eval

Control-implementation of Wang & Liam TUD-MMC https://pdfs.semanticscholar.org/5a28/1258b7fd3f5672f48c72732177655bec9481.pdf

tweet2vec

Twitter hashtag prediction

wcbc

FIFA World Cup Bracket Challenge

zimp

A pip package for simplifying texts for NLP pipelines

zimp-orchestrator

A simple python service which handles reproducible zimp experiments

zimp_clf_service

RESTful classification service used for experiments in the zimp pipeline

zimp_experiments

Experiments conducted using zimp (https://github.com/freecraver/zimp)

zimp_resources

Resources for zimp readability / simplification algorithms