Pinned Repositories
awesome-h2o
A curated list of research, applications and projects built using the H2O Machine Learning platform
h2o-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
h2o-automl-paper
H2O AutoML paper
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
cvAUC
Computationally efficient confidence intervals for cross-validated AUC estimates in R
LatinR-2019-h2o-tutorial
H2O Machine Learning Tutorial for the 2019 LatinR Conference
sldm4-h2o
Statistical Learning & Data Mining IV - H2O Presenation & Tutorial
subsemble
subsemble R package for ensemble learning on subsets of data
useR-machine-learning-tutorial
useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
automlbenchmark
OpenML AutoML Benchmarking Framework
ledell's Repositories
ledell/subsemble
subsemble R package for ensemble learning on subsets of data
ledell/cvAUC
Computationally efficient confidence intervals for cross-validated AUC estimates in R
ledell/LatinR-2019-h2o-tutorial
H2O Machine Learning Tutorial for the 2019 LatinR Conference
ledell/h2oEnsemble-benchmarks
Benchmarks of the H2O Ensemble R interface (H2O 2.0).
ledell/phd-thesis
My UC Berkeley Ph.D. dissertation.
ledell/automl-fall-school-2022
AutoML Fall School 2022: H2O AutoML Hands-on Workshop
ledell/useR2020-automl
useR! 2020 keynote presentation & code
ledell/neurips-2021-keynote
NeurIPS 2021 Datasets and Benchmarks Track Keynote
ledell/awesome
:sunglasses: Curated list of awesome lists
ledell/awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
ledell/automlbenchmark
OpenML AutoML Benchmarking Framework
ledell/awesome-ml-frameworks
Awesome (or not so) Machine Learning Frameworks
ledell/DALEX
Descriptive mAchine Learning EXplanations
ledell/growthcurveSL
SuperLearner Growth Imputation
ledell/h2o-automl-paper
H2O AutoML paper
ledell/interpretable-ml-book
Book about interpretable machine learning
ledell/juliacon-2022-keynote
ledell/LatinR-2019-keynote
Keynote presentation at LatinR 2019
ledell/ledell
ledell/ledell.r-universe.dev
ledell/meetup-presentations_budapest
R-Ladies Budapest - This is the collection of code, presentations and additional materials created by the Budapest R-Ladies community
ledell/moneyball
Moneyball Demo (Public Version)
ledell/OpenML
Open Machine Learning
ledell/openml-python
Python module to interface with OpenML
ledell/optuna-examples
Examples for https://github.com/optuna/optuna
ledell/parsnip
A tidy unified interface to models
ledell/RCDI-WG
R Community Diversity and Inclusion Working Group (RCDI-WG)
ledell/Study-14
ledell/survey
An (in-progress) AutoML survey focusing on practical systems.
ledell/yardstick
Tidy methods for measuring model performance