ja-thomas

AutoML is Life

LMU Statistical Learning & Data ScienceMunich

Pinned Repositories

autoxgboost
autoxgboost - Automatic tuning and fitting of xgboost
Language:R121 18 6019
autoxgboostMC
Multi-criteria Automatic Gradient Boosting
Language:R7 4 121
boostingR6
Language:R5 3 02
hyperbandr
Language:R14 5 191
ml_R6
Collection of ML algorithms implemented in R6
Language:R4 2 01
OMLbots
Language:R13 7 406
pbmohpo
Preferential Bayesian Multi-Objective Hyperparameter Optimization
Language:Python7 2 40
mlr
Machine Learning in R
Language:R1.6k 106 1.7k405
mlrMBO
Toolbox for Bayesian Optimization and Model-Based Optimization in R
Language:R187 31 36147
compboost
C++ implementation and R API for componentwise boosting
Language:C++24 2 2223

ja-thomas's Repositories

ja-thomas/autoxgboost
autoxgboost - Automatic tuning and fitting of xgboost
Language:R121 18 6019
ja-thomas/hyperbandr
Language:R14 5 191
ja-thomas/OMLbots
Language:R13 7 406
ja-thomas/autoxgboostMC
Multi-criteria Automatic Gradient Boosting
Language:R7 4 121
ja-thomas/pbmohpo
Preferential Bayesian Multi-Objective Hyperparameter Optimization
Language:Python7 2 40
ja-thomas/boostingR6
Language:R5 3 02
ja-thomas/ml_R6
Collection of ML algorithms implemented in R6
Language:R4 2 01
ja-thomas/toolbox
Curated list of libraries for a faster machine learning workflow
3 1 0
ja-thomas/whyr_2018_intro_mlr
Language:Jupyter Notebook3 2 025
ja-thomas/mlComp
Language:R2 2 0
ja-thomas/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Language:JavaScript0 0
ja-thomas/AutoMLFallSchool21
BO Session, Auto ML Fall school 2021
Language:Jupyter Notebook1 0
ja-thomas/AutoMLLecture
Lecture on Automated Machine Learning
Language:TeX1 0
ja-thomas/black
The uncompromising Python code formatter
Language:Python0 0
ja-thomas/course-template
👩‍🏫🇷 Starter repo for building interactive R courses
Language:CSS1 0
ja-thomas/dotfiles
Language:Shell2 0
ja-thomas/extend_ames_housing
Language:R1 0
ja-thomas/keras
Deep Learning for humans
Language:Python1 0
ja-thomas/mixed_testfunctions
Language:R2 0
ja-thomas/mlops
Exercises and supplementary material for the machine learning operations course at DTU.
Language:Jupyter Notebook0 0
ja-thomas/mlr3automl
Automated machine learning in mlr3
Language:R1 0
ja-thomas/mlr3learners
Recommended learners for mlr3
Language:R1 0
ja-thomas/packetloss-watchdog
A workaround for the Vodafone Station's packet loss issue
Language:Kotlin1 0
ja-thomas/project_misc
Smaller stuff I am/have been working on and don't want to create separate repo
Language:R2 0
ja-thomas/Python
All Algorithms implemented in Python
Language:Python1 0
ja-thomas/random_py_snippets
Random Python Snippets
Language:Python2 0
ja-thomas/stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
2 0
ja-thomas/test_lecture
Language:CSS2 0
ja-thomas/ubuntu_makefile
Language:Makefile2 01
ja-thomas/whyr2018_deeplearning_in_mlr
Language:HTML3 61