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ja-thomas

ja-thomas

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Company:LMU Statistical Learning & Data Science

Location:Munich

Home Page:https://www.slds.stat.uni-muenchen.de/people/thomas/

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boost-R
openml

ja-thomas's repositories

autoxgboost

autoxgboost - Automatic tuning and fitting of xgboost

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hyperbandr

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OMLbots

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autoxgboostMC

Multi-criteria Automatic Gradient Boosting

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pbmohpo

Preferential Bayesian Multi-Objective Hyperparameter Optimization

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boostingR6

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ml_R6

Collection of ML algorithms implemented in R6

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toolbox

Curated list of libraries for a faster machine learning workflow

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whyr_2018_intro_mlr

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mlComp

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academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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AutoMLFallSchool21

BO Session, Auto ML Fall school 2021

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AutoMLLecture

Lecture on Automated Machine Learning

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black

The uncompromising Python code formatter

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course-template

👩‍🏫🇷 Starter repo for building interactive R courses

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dotfiles

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extend_ames_housing

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keras

Deep Learning for humans

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mixed_testfunctions

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mlops

Exercises and supplementary material for the machine learning operations course at DTU.

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mlr3automl

Automated machine learning in mlr3

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mlr3learners

Recommended learners for mlr3

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packetloss-watchdog

A workaround for the Vodafone Station's packet loss issue

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project_misc

Smaller stuff I am/have been working on and don't want to create separate repo

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Python

All Algorithms implemented in Python

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random_py_snippets

Random Python Snippets

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stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

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test_lecture

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ubuntu_makefile

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whyr2018_deeplearning_in_mlr

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