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:
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆43Updated 3 years ago
- A library for uncertainty quantification based on PyTorch☆122Updated 3 years ago
- A collection of algorithms of counterfactual explanations.☆52Updated 4 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆43Updated 6 months ago
- Neural Additive Models (Google Research)☆74Updated 4 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆53Updated 3 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Updated last year
- ☆18Updated 4 years ago
- Data Augmentation with Variational Autoencoders (TPAMI)☆143Updated 3 years ago
- Active and Sample-Efficient Model Evaluation☆26Updated 7 months ago
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Updated 3 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- ☆29Updated 3 years ago
- Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)☆48Updated 4 years ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆49Updated 5 years ago
- Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).☆20Updated 4 years ago
- ☆58Updated last year
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 4 years ago
- "Oblique Decision Trees from Derivatives of ReLU Networks" (ICLR 2020, previously called "Locally Constant Networks")☆22Updated 4 years ago
- Reusable BatchBALD implementation☆79Updated last year
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆87Updated last year
- ☆22Updated 2 years ago
- Random feature latent variable models in Python☆23Updated 2 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 3 years ago
- Code to study the generalisability of benchmark models on non-stationary EHRs.☆14Updated 6 years ago
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆58Updated 2 years ago
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆33Updated 2 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆37Updated 3 years ago
- Self-Explaining Neural Networks☆43Updated 5 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆73Updated 2 years ago