interpretml / TalkToEBMLinks
A Natural Language Interface to Explainable Boosting Machines
☆68Updated last year
Alternatives and similar repositories for TalkToEBM
Users that are interested in TalkToEBM are comparing it to the libraries listed below
Sorting:
- A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.☆237Updated 3 months ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆159Updated 3 years ago
- TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!☆125Updated 2 years ago
- A novel approach for synthesizing tabular data using pretrained large language models☆324Updated 4 months ago
- For calculating global feature importance using Shapley values.☆278Updated last week
- Editing machine learning models to reflect human knowledge and values☆126Updated 2 years ago
- Interpret text data with LLMs (sklearn compatible).☆171Updated 3 weeks ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆248Updated last year
- A repo for transfer learning with deep tabular models☆104Updated 2 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆70Updated 2 years ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆294Updated 2 years ago
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆107Updated last year
- Train Gradient Boosting models that are both high-performance *and* Fair!☆105Updated 3 months ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- Mixture of Decision Trees for Interpretable Machine Learning☆11Updated 4 years ago
- Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)☆153Updated 3 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 4 years ago
- Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.☆17Updated 2 years ago
- Metrics to evaluate quality and efficacy of synthetic datasets.☆251Updated this week
- Benchmarking synthetic data generation methods.☆281Updated last week
- Model Agnostic Counterfactual Explanations☆88Updated 3 years ago
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆45Updated 5 months ago
- Testing Language Models for Memorization of Tabular Datasets.☆35Updated 8 months ago
- Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.☆44Updated 7 months ago
- pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation☆138Updated last month
- Extending Conformal Prediction to LLMs☆68Updated last year
- The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).☆221Updated 2 years ago
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆102Updated 3 years ago
- Code repository for the NAACL 2022 paper "ExSum: From Local Explanations to Model Understanding"☆64Updated 3 years ago
- ☆201Updated last week