junhaobearxiong / Counterfactual-Prediction
State space model + data pipeline to generate counterfactual time series trajectories on multiple clinical signals, used to evaluate the utility of counterfactual features in sepsis prediction
☆7Updated 6 years ago
Alternatives and similar repositories for Counterfactual-Prediction:
Users that are interested in Counterfactual-Prediction are comparing it to the libraries listed below
- Perform inference on algorithm-agnostic variable importance in Python☆20Updated 2 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆27Updated 4 years ago
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆31Updated 2 years ago
- Codebase for "Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series"☆13Updated 4 years ago
- Experiments on structure learning of Bayesian Networks with emphasis on finding causal relationship☆9Updated 5 years ago
- This Python package implements algorithms for multiviews (multimodals) learning☆14Updated 5 months ago
- Repository for 'Interpretable embeddings from molecular simulations using gaussian mixture variational autoencoders'☆20Updated 5 years ago
- Pytorch implementation of "Inferring Causal Dependencies between Chaotic Dynamical Systems from Sporadic Time Series"☆9Updated 4 years ago
- Maximum entropy and minimum divergence models in Python☆42Updated 10 months ago
- Pytorch implementation of Markov RNNs☆16Updated 6 years ago
- ☆30Updated 2 years ago
- Bayesian optimization with conformal coverage guarantees☆27Updated 2 years ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆29Updated 3 years ago
- Topological Features for Time Series Classification☆16Updated 4 years ago
- Learning with Data on Riemannian Manifolds☆10Updated last year
- Pacmed Labs experiments on uncertainty estimation, focusing on unbalanced tabular data and classification tasks.☆21Updated 3 years ago
- Talks from Neil Lawrence☆54Updated last year
- Deeplearning project at The Technological University of Denmark (DTU) about Neural ODEs for finding dynamics in ordinary differential equ…☆14Updated 3 years ago
- c-lasso: a Python package for constrained sparse regression and classification☆32Updated 3 years ago
- ☆17Updated 3 years ago
- Rank-To-Group score evaluates contribution of confounding factors☆21Updated 3 years ago
- "Oblique Decision Trees from Derivatives of ReLU Networks" (ICLR 2020, previously called "Locally Constant Networks")☆22Updated 3 years ago
- ☆10Updated 4 years ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆50Updated 5 years ago
- Easy Nearest Neighbor Estimation of Mutual Information☆36Updated 3 months ago
- SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017☆25Updated 7 years ago
- Official Repository for our UAI paper Countdown Regression on the MIMIC-III Dataset☆18Updated 5 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆21Updated 2 years ago
- Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems☆21Updated 2 years ago
- ☆19Updated 4 years ago