Pacmed / ehr_ood_detectionLinks
Pacmed Labs experiments on uncertainty estimation, focusing on unbalanced tabular data and classification tasks.
☆21Updated 4 years ago
Alternatives and similar repositories for ehr_ood_detection
Users that are interested in ehr_ood_detection are comparing it to the libraries listed below
Sorting:
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆31Updated 2 years ago
- Official Repository for our UAI paper Countdown Regression on the MIMIC-III Dataset☆19Updated 6 years ago
- ☆21Updated 2 years ago
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Updated 3 years ago
- A library for uncertainty quantification based on PyTorch☆121Updated 3 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
- The starter repository for submissions to the GeneDisco challenge for optimized experimental design in genetic perturbation experiments.☆24Updated 3 years ago
- Data-SUITE: Data-centric identification of in-distribution incongruous examples (ICML 2022)☆10Updated 2 years ago
- Code to study the generalisability of benchmark models on non-stationary EHRs.☆14Updated 5 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated last month
- "Oblique Decision Trees from Derivatives of ReLU Networks" (ICLR 2020, previously called "Locally Constant Networks")☆22Updated 4 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- Local explanations with uncertainty 💐!☆40Updated last year
- [Python] Comparison of empirical probability distributions. Integral probability metrics (e.g. Kantorovich metric). f-divergences (e.g. K…☆11Updated 2 years ago
- ☆16Updated 4 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆47Updated 2 years ago
- ☆31Updated 2 years ago
- A repo for transfer learning with deep tabular models☆104Updated 2 years ago
- Data Augmentation with Variational Autoencoders (TPAMI)☆140Updated 2 years ago
- TabDPT: Scaling Tabular Foundation Models☆30Updated 2 months ago
- Neural Additive Models (Google Research)☆70Updated 3 years ago
- Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.☆17Updated last year
- Benchmark time series data sets for PyTorch☆36Updated last year
- Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.☆56Updated 4 years ago
- Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR☆61Updated 5 years ago
- Resources for Machine Learning Explainability☆80Updated 9 months ago
- ☆57Updated last year
- ☆11Updated 2 years ago
- ☆23Updated last month