interpretml / TalkToEBMLinks
A Natural Language Interface to Explainable Boosting Machines
☆69Updated last year
Alternatives and similar repositories for TalkToEBM
Users that are interested in TalkToEBM are comparing it to the libraries listed below
Sorting:
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆159Updated 3 years ago
- A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.☆242Updated 2 weeks ago
- For calculating global feature importance using Shapley values.☆283Updated last week
- Interpret text data with LLMs (sklearn compatible).☆175Updated 3 months ago
- Editing machine learning models to reflect human knowledge and values☆128Updated 2 years ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆299Updated 2 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆70Updated 2 years ago
- TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!☆126Updated 2 years ago
- A repo for transfer learning with deep tabular models☆105Updated 2 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆252Updated last year
- A novel approach for synthesizing tabular data using pretrained large language models☆340Updated last month
- Train Gradient Boosting models that are both high-performance *and* Fair!☆106Updated 3 weeks ago
- Experimental library integrating LLM capabilities to support causal analyses☆280Updated 2 weeks ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 4 years ago
- A python library for hierarchical classification compatible with scikit-learn☆136Updated 10 months ago
- Testing Language Models for Memorization of Tabular Datasets.☆36Updated 11 months ago
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆45Updated 2 years ago
- A framework for prototyping and benchmarking imputation methods☆195Updated 2 years ago
- Extending Conformal Prediction to LLMs☆69Updated last year
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 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 our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆107Updated last year
- Neural Additive Models (Google Research)☆74Updated 4 years ago
- The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).☆223Updated 2 weeks ago
- ☆203Updated 3 months ago
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆47Updated 7 months ago
- [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.☆62Updated last month
- Revisiting Pretrarining Objectives for Tabular Deep Learning☆66Updated 3 years ago
- Fast implementation of Venn-ABERS probabilistic predictors☆75Updated last year
- Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)☆153Updated 3 years ago