Pinned

1. ecpolley/SuperLearner Public

   Current version of the SuperLearner R package

   R 221 61

2. varimpact Public

   Variable importance through targeted causal inference, with Alan Hubbard

   R 48 13

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

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

   CSS 165 67

4. coral-ordinal Public

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

   Python 37 14

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

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

   R 103 37

6. dlab-berkeley/Unsupervised-Learning-in-R Public

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

   R 34 10