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GBM-perf Public
Performance of various open source GBM implementations
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benchm-ml Public
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning al…
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DS_meetups Public
Contents from the Real Data Science USA (formerly LA Data Science) Meetup
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benchm-ml--data Public
Data for benchm-ml, gbm-perf etc. (samples from the airline dataset)
R UpdatedJan 20, 2021 -
talks-main Public
Most recent/important talks given at conferences/meetups
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erum2020program Public
Forked from Milano-R/erum2020programe-Rum2020 program and materials
R Other UpdatedJul 16, 2020 -
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GBM-adv-workshop-Bp19 Public
Advanced GBM Workshop - Budapest, Nov 2019
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GBM-workshop Public
Code (and other materials) for an introductory talk/workshop on GBMs (developed originally for an R-Ladies Meetup)
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awesome-GBMs Public
A curated list of gradient boosting machines (GBM) resources
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Machine Learning #1 and #2 courses at CEU Master of Science in Business Analytics
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2018-n9-bRew-and-View Public
Forked from JustinMShea/2018-n9-bRew-and-ViewCome join us for the first ever R-themed Brew and View! We are going to curate a few of our favorite talks into 20 minute clips, and then highlight key points and discuss afterward.
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GBM-multicore Public
GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems
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2018.erum.io Public
Forked from eRum2018/2018.erum.ioHomepage of the 2018 event
HTML UpdatedApr 11, 2018 -
meetup-presentations_budapest Public
Forked from rladies/meetup-presentations_budapestR-Ladies Budapest - This is the collection of code, presentations and additional materials created by the Budapest R-Ladies community
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GBM-meltdown Public
The Effect of the Linux Kernel Page-Table Isolation (KPTI) Patch (Meltdown Vulnerability) on GBMs
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benchm-dl Public
Playing with various deep learning tools and network architectures
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GBM-tune Public
Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions
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Materials for a short introductory/intermediate Data Science course taught in the MSc in Business Analytics program at the Central European University
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benchm-databases Public
A minimal benchmark of various tools (statistical software, databases etc.) for working with tabular data of moderately large sizes (interactive data analysis).
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ml-x1 Public
Machine learning tools on monster EC2 X1 instance (128 cores, 2 TB RAM)
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ML-scoring Public
Compare the scoring speed of several open source machine learning libraries.
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Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA
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h2o-scoring--OLD Public
Various options for deploying h2o.ai models to production (scoring new data)
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ml-prod Public
Some thoughts on how to use machine learning in production
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