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1. cf_ensemble cf_ensemble Public

   sandbox for exotic ensemble learning algorithms

   Jupyter Notebook 1 1

2. tpheno tpheno Public

   Prototypes for EHR-sequencing and temporal phenotyping. Key methods: sequence models, LSTM, attention mechanism, cluster analysis, word & document embeddings, and other NLP methods.

   Python

3. qrecommender qrecommender Public

   A collection of implementations useful for building recommender systems. Key methods: matrix factorization, regression, collaborative filtering, evolutionary algorithm

   Python

4. clinical-analytics-demo clinical-analytics-demo Public

   A demo for predicting patient health status via diagnosis and prescription drugs. Key methods: (simple) EHR-sequencing, NLP, classification algorithms (e.g. logistic regression, decision tree)

   Jupyter Notebook 3

5. BRAF BRAF Public

   Biased Random Forest For Dealing With The Class Imbalance Problem

   Python 3

6. zero_shot_classification zero_shot_classification Public

   Implementation of the paper "Train Once, Test Anywhere: Zero-Shot Learning for Text Classification"

   Jupyter Notebook 3