interpretml / TalkToEBM
A Natural Language Interface to Explainable Boosting Machines
☆65Updated 7 months ago
Alternatives and similar repositories for TalkToEBM:
Users that are interested in TalkToEBM are comparing it to the libraries listed below
- Testing Language Models for Memorization of Tabular Datasets.☆33Updated 2 weeks ago
- Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.☆39Updated 10 months ago
- Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.☆17Updated last year
- Interpretable ML for TabPFN☆23Updated 10 months ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆63Updated 2 years ago
- Mixture of Decision Trees for Interpretable Machine Learning☆11Updated 3 years ago
- A repo for transfer learning with deep tabular models☆102Updated 2 years ago
- Tabular In-Context Learning☆47Updated this week
- Experimental library integrating LLM capabilities to support causal analyses☆110Updated 5 months ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- Editing machine learning models to reflect human knowledge and values☆124Updated last year
- Neural Additive Models (Google Research)☆69Updated 3 years ago
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆42Updated 7 months ago
- Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.☆163Updated this week
- Training and evaluating NBM and SPAM for interpretable machine learning.☆77Updated last year
- A lightweight implementation of removal-based explanations for ML models.☆58Updated 3 years ago
- Extending Conformal Prediction to LLMs☆63Updated 8 months ago
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆43Updated last year
- TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!☆120Updated last year
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆43Updated 2 years ago
- Influence Estimation for Gradient-Boosted Decision Trees☆26Updated 9 months ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆239Updated 6 months ago
- Multi-Objective Counterfactuals☆41Updated 2 years ago
- ☆22Updated last year
- For calculating global feature importance using Shapley values.☆264Updated this week
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆40Updated 2 years ago
- [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.☆52Updated this week
- Fast implementation of Venn-ABERS probabilistic predictors☆72Updated last year
- A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.☆221Updated 2 months ago