pfistfl

autoxgboostMC

Multi-criteria Automatic Gradient Boosting

OMLRandomBotv2

pfistfl.github.io

counterfactuals

distillery

Compressing Learners into Neural Networks

gpt2_twitterbot

Create your own GPT-2 Twitter Bot (german)

auto-sklearn

Automated Machine Learning with scikit-learn

compboost

C++ implementation and R API for componentwise boosting

defaults

Getting an optimal set of defaults for common machine learning algorithms

heightchecker

Repo for the second exercise sheet in the Innolab @ LMU

HPOBench

Collection of hyperparameter optimization benchmark problems

iml

iml: interpretable machine learning R package

keras

R Interface to Keras

langchain

⚡ Building applications with LLMs through composability ⚡

LatexTemplate

Latex Template for AutoML-Conf

ml_defaults

Sets of up to 32 default values for several machine-learning algorithms

mlr-extralearner

mlr3cluster

Cluster analysis for mlr3

mlr3learners

Recommended learners for mlr3

model-card-template

Template for model cards

MxNet-fmnist

Some architectures for fmnist

openml-defaults

Search for a set of defaults for sklearn and mlr

pfistfl

python-data-science

rbv2

Reproduce Randombot-NG resuls

seminar_presentation_template

Presentation Template for a Seminar held at LMU Munich

sublime_sphinx_guide

Sublime and Sphinx Guide

surrogates_data

Metadata for surrogates

syne-tune

Large scale and asynchronous Hyperparameter Optimization at your fingertip.

talk_reisensburg_xgb_multiobj