Alternatives and similar repositories for clinical-rule-vetting:

Users that are interested in clinical-rule-vetting are comparing it to the libraries listed below

• microsoft / augmented-interpretable-models
  Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
  ☆40Updated 2 weeks ago
• abacusai / xai-bench
  XAI-Bench is a library for benchmarking feature attribution explainability techniques
  ☆63Updated 2 years ago
• XingqiaoWang / DeepCausalPV-master
  ☆18Updated 3 years ago
• MLforHealth / ClinicalDG
  An Empirical Framework for Domain Generalization In Clinical Settings
  ☆30Updated 2 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
• dmitrykazhdan / concept-based-xai
  Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
  ☆53Updated 2 years ago
• interpretml / TalkToEBM
  A Natural Language Interface to Explainable Boosting Machines
  ☆65Updated 8 months ago
• a-lucic / focus
  ☆16Updated 2 years ago
• jmkuebler / auto-tst
  AutoML Two-Sample Test
  ☆19Updated 2 years ago
• RyanWangZf / PromptEHR
  EMNLP'22 | PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning
  ☆28Updated last year
• layer6ai-labs / TabDPT
  TabDPT: Scaling Tabular Foundation Models
  ☆26Updated last week
• BatsResearch / nplm
  A weak supervision framework for (partial) labeling functions
  ☆16Updated 8 months ago
• jjbrophy47 / tree_influence
  Influence Estimation for Gradient-Boosted Decision Trees
  ☆26Updated 9 months ago
• benbo / interactive-weak-supervision
  Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling
  ☆31Updated 4 years ago
• JonathanCrabbe / Label-Free-XAI
  This repository contains the implementation of Label-Free XAI, a new framework to adapt explanation methods to unsupervised models. For m…
  ☆23Updated 2 years ago
• HazyResearch / liger
  Liger: Fusing Weak Supervision and Model Embeddings
  ☆9Updated 2 years ago
• Yu-Group / imodels-experiments
  Experiments with experimental rule-based models to go along with imodels.
  ☆16Updated last month
• vanderschaarlab / temporai
  TemporAI: ML-centric Toolkit for Medical Time Series
  ☆109Updated last year
• interpretml / LLM-Tabular-Memorization-Checker
  Testing Language Models for Memorization of Tabular Datasets.
  ☆33Updated last month
• vanderschaarlab / Interpretability
  Resources for Machine Learning Explainability
  ☆75Updated 6 months ago
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆43Updated 2 years ago
• tomer1812 / pydts
  ☆23Updated 5 months 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
• mlfoundations / rtfm
  Research on Tabular Foundation Models
  ☆43Updated 3 months ago
• MLforHealth / MIMIC_Generalisation
  Code to study the generalisability of benchmark models on non-stationary EHRs.
  ☆14Updated 5 years ago
• bhaweshiitk / ConformalLLM
  Extending Conformal Prediction to LLMs
  ☆64Updated 8 months ago
• google-research / interpretability-theory
  ☆26Updated last year
• interpretml / fastSparse
  ☆22Updated last year
• RyanWangZf / MediTab
  The code for the paper "MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement"
  ☆18Updated 10 months ago
• csinva / mdl-complexity
  MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".
  ☆18Updated last year