Alternatives and similar repositories for ehr_ood_detection:

Users that are interested in ehr_ood_detection are comparing it to the libraries listed below

• sfme / RVAE_MixedTypes
  Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)
  ☆50Updated 5 years ago
• MLforHealth / ClinicalDG
  An Empirical Framework for Domain Generalization In Clinical Settings
  ☆30Updated 2 years ago
• adrianjav / heterogeneous_vaes
  Pytorch implementation of VAEs for heterogeneous likelihoods.
  ☆42Updated 2 years ago
• msesia / arc
  Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems
  ☆31Updated 2 years ago
• clarafy / conformal-for-design
  ☆30Updated 2 years ago
• TorchUQ / torchuq
  A library for uncertainty quantification based on PyTorch
  ☆121Updated 3 years ago
• dylan-slack / Modeling-Uncertainty-Local-Explainability
  Local explanations with uncertainty 💐!
  ☆39Updated last year
• bdwilliamson / vimpy
  Perform inference on algorithm-agnostic variable importance in Python
  ☆20Updated 2 years ago
• clementchadebec / pyraug
  Data Augmentation with Variational Autoencoders (TPAMI)
  ☆139Updated 2 years ago
• sylvaincom / comparison-distributions
  [Python] Comparison of empirical probability distributions. Integral probability metrics (e.g. Kantorovich metric). f-divergences (e.g. K…
  ☆10Updated last year
• jlko / active-testing
  Active and Sample-Efficient Model Evaluation
  ☆24Updated 4 years ago
• philipdarke / torchtime
  Benchmark time series data sets for PyTorch
  ☆35Updated last year
• msesia / chr
  Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems
  ☆22Updated 2 years ago
• stanfordmlgroup / cdr-mimic
  Official Repository for our UAI paper Countdown Regression on the MIMIC-III Dataset
  ☆18Updated 5 years ago
• ykwon0407 / beta_shapley
  Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
  ☆40Updated 2 years ago
• MJ10 / DEUP
  Code for experiments to learn uncertainty
  ☆30Updated 2 years ago
• jsyoon0823 / INVASE
  Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR
  ☆60Updated 4 years ago
• MarkPKCollier / MissingDataVAEs
  ☆19Updated 4 years ago
• cambridge-mlg / CLUE
  Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
  ☆35Updated 10 months ago
• genedisco / genedisco-starter
  The starter repository for submissions to the GeneDisco challenge for optimized experimental design in genetic perturbation experiments.
  ☆24Updated 2 years ago
• clinicalml / proxy-anchor-regression
  Code for ICML 2021 paper "Regularizing towards Causal Invariance: Linear Models with Proxies" (ICML 2021)
  ☆11Updated 3 years ago
• seedatnabeel / Data-SUITE
  Data-SUITE: Data-centric identification of in-distribution incongruous examples (ICML 2022)
  ☆10Updated 2 years ago
• gwgundersen / rflvm
  Random feature latent variable models in Python
  ☆22Updated last year
• MLforHealth / MIMIC_Generalisation
  Code to study the generalisability of benchmark models on non-stationary EHRs.
  ☆14Updated 5 years ago
• ahmedmalaa / AutoPrognosis
  Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.
  ☆56Updated 4 years ago
• wiseodd / lula
  Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).
  ☆20Updated 3 years ago
• AmrMKayid / nam
  Neural Additive Models (Google Research)
  ☆69Updated 3 years ago
• stefangroha / SurvNODE
  ☆17Updated 3 years ago
• sedelmeyer / wasserstein-auto-encoder
  A brief tutorial on the Wasserstein auto-encoder
  ☆84Updated 6 years ago
• aangelopoulos / conformal-risk
  Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…
  ☆62Updated 2 years ago