Pinned

1. ecpolley/SuperLearner

   Current version of the SuperLearner R package

   R 216 62

2. varimpact

   Variable importance through targeted causal inference, with Alan Hubbard

   R 44 12

3. dlab-berkeley/Machine-Learning-in-R

   Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

   CSS 159 56

4. dlab-berkeley/Unsupervised-Learning-in-R

   Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).

   R 33 9

5. dlab-berkeley/Deep-Learning-in-R

   Workshop (6 hours): Deep learning in R using Keras. Building & training deep nets, image classification, transfer learning, text analysis, visualization

   R 92 29

6. coral-ordinal

   Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)

   Python 28 8