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batch

candidatesclassifier

cmssw

CMS Offline Software

correlations

crown

C++ based ROOT Workflow for N-tuples (CROWN)

crown_sample_lister

Sample lists to make ntuples using [https://github.com/KIT-CMS/CROWN](https://pages.github.com/) framework

digitaldesignesolutions

DigitalDesign School solutions

drug_review

Patient reviews predictions based on specific drugs along with related conditions and a 10 star patient rating reflecting overall patient satisfaction

first_log_reg

A very simple logistic regression model for binary classification trained on a large numeric dataset

githats

Example repository for the Git/GitHub HATS @ LPC

jupyternotebooks

kingmaker_datafiles

Creates `dataset.yaml` file for the ntuples production via KingMaker

mass-pt-correlations

Correlations between mass (or pT) and your variable divided into n bins

movies_classification

This is a small project with neural network for multiclass text classification

oop2021

postfitter

A piece of code to create postfit shapes from copying them from the fitDiagnostics file

qhd-problems

sample_maker

A code that creates config files for sample_database repository

scale_factors_utils

Complementary scripts for scale factors visual representation

sfs_workspace

One can extract scale factors from the ROOT workspace and write it to the correction lib format. The code is based on this repoditory: https://github.com/KIT-CMS/TagAndProbe

smhtt_ul

Repository for smhtt analysis, based on the mssm repository

students_performance

Students performance prediction based on 5 features: gender , race/ethnicity , parental level of education, lunch, test preparation course

tagandprobe

Muon, electron and hadronic tau tag and probe measurements and plotting

tauanalysis-crown

The repository holding the CROWN configurations for tau related analyses

tauidsfmeasurement

CombineHarvester setup for the measurement of TauID scale factors

taumltools

Tools for Machine Learing for Tau reco&Id

tauwps

up_down_shape_variation

A script to see up and down variation

xgb

Machine learning application for selection criteria of lambda hyperon

z_early_run3