Crisp-Unimib / MERLINLinks
MERLIN is a global, model-agnostic, contrastive explainer for any tabular or text classifier. It provides contrastive explanations of how the behaviour of two machine learning models differs.
☆18Updated last year
Alternatives and similar repositories for MERLIN
Users that are interested in MERLIN are comparing it to the libraries listed below
Sorting:
- This is the repository for the CONFLARE (CONformal LArge language model REtrieval) Python package.☆19Updated last year
- Learning clinical-decision rules with interpretable models.☆20Updated last year
- ☆23Updated last month
- ☆50Updated 2 years ago
- Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.☆42Updated 3 months ago
- Replication materials for "Identifying the Development and Application of Artificial Intelligence in Scientific Text"☆12Updated 5 years ago
- ☆43Updated 7 months ago
- Model-agnostic Statistical/Machine Learning explainability (currently Python) for tabular data☆9Updated 2 months ago
- Explaining dimensionality results using SHAP values☆54Updated 4 months ago
- [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.☆56Updated last week
- GAMI-Net: Generalized Additive Models with Structured Interactions☆31Updated 3 years ago
- A Natural Language Interface to Explainable Boosting Machines☆67Updated 11 months ago
- ☆11Updated 9 months ago
- This project develops compact transformer models tailored for clinical text analysis, balancing efficiency and performance for healthcare…☆18Updated last year
- ☆26Updated 2 years ago
- Resources for Machine Learning Explainability☆78Updated 9 months ago
- ☆23Updated 2 years ago
- Cross-field empirical trends analysis of XAI literature☆20Updated last year
- ☆11Updated last year
- A weak supervision framework for (partial) labeling functions☆16Updated 10 months ago
- 🤖 A Python Package for generating new patient representations driven by data and prior knowledge☆23Updated 2 months ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆57Updated last year
- Phe2vec: Automated Disease Phenotyping based on Unsupervised Embeddings from Electronic Health Records☆24Updated 4 years ago
- Mixture of Decision Trees for Interpretable Machine Learning☆11Updated 3 years ago
- Repository for the familiar R-package. Familiar implements an end-to-end pipeline for interpretable machine learning of tabular data.☆30Updated last week
- Python package for (conditional) independence testing and statistical functions related to causality.☆28Updated 5 months ago
- All the material needed to use MC-CP and the Adaptive MC Dropout method☆24Updated 2 weeks ago
- [Paper] Repository for the paper "On a Guided Nonnegative matrix factorization," published in IEEE ICASSP 2021.☆10Updated 2 years ago
- Testing Language Models for Memorization of Tabular Datasets.☆33Updated 3 months ago
- Generate graph/data embeddings multiple ways☆53Updated this week