10 open source projects by szilard

Performance of various open source GBM implementations

✭ 177

html machine-learning benchmark xgboost lightgbm

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 algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

✭ 1,835

python r deep-learning machine-learning data-science spark xgboost random-forest h2o gradient-boosting-machine

3. Teach Data Science Ucla Master Appl Stats

Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA

✭ 124

html

4. Benchm Dl

Playing with various deep learning tools and network architectures

✭ 75

python

5. Teach Data Science Msc Analytics Ceu

Materials for a short introductory/intermediate Data Science course taught in the MSc in Business Analytics program at the Central European University

✭ 31

html

6. Ml Scoring

Compare the scoring speed of several open source machine learning libraries.

✭ 20

7. talks-main

Most recent/important talks given at conferences/meetups

✭ 15

8. ml-prod

Some thoughts on how to use machine learning in production

✭ 72

9. teach-ML-CEU-master-bizanalytics