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1. variational-causal-inference variational-causal-inference Public

   This repository implements Variational Causal Inference (VCI), a variational Bayesian causal inference framework for high-dimensional treatment effect predictions and estimations.

   Jupyter Notebook 5 2

2. graphVCI graphVCI Public

   This repository implements Graph Variational Causal Inference (graphVCI), a framework that integrates prior knowledge of relational information into variational causal inference for the prediction …

   Python 15 3

3. DGAPN DGAPN Public

   This repository implements Distilled Graph Attention Policy Network (DGAPN), a curiosity-driven reinforcement learning model to generate novel graph-structured chemical representations.

   Python 10

4. sGAT sGAT Public

   This repository implements Spatial Graph Attention Network (sGAT), a graph deep learning model that embeds node and edge attributes as well as spatial structures for prediction tasks.

   Python 4

5. tmle3trans tmle3trans Public

   Robust transportation of point estimators & survival curves from clinical trial to real world with TMLE

   R

6. batchnorm-lstm batchnorm-lstm Public

   NumPy implementation of Batch-Normalized LSTM

   Jupyter Notebook 2