csinva / imodelsX
Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.
☆161Updated 2 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for imodelsX
- Extending Conformal Prediction to LLMs☆58Updated 5 months ago
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆206Updated 2 weeks ago
- Mixture of Decision Trees for Interpretable Machine Learning☆11Updated 3 years ago
- A Natural Language Interface to Explainable Boosting Machines☆60Updated 4 months ago
- Repository for the explanation method Calibrated Explanations (CE)☆53Updated this week
- ☆60Updated 8 months ago
- Experimental library integrating LLM capabilities to support causal analyses☆84Updated 2 months ago
- Code for Language-Interfaced FineTuning for Non-Language Machine Learning Tasks.☆120Updated last week
- ☆115Updated 7 months ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- A statistical toolkit for scientific discovery using machine learning☆70Updated 4 months ago
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆300Updated this week
- Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models☆142Updated 3 months ago
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.☆193Updated 10 months ago
- Testing Language Models for Memorization of Tabular Datasets.☆30Updated last month
- Semi-automatic feature engineering process using Language Models and your dataset descriptions. Based on the paper "LLMs for Semi-Automat…☆131Updated 9 months ago
- Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.☆38Updated 7 months ago
- Shapley Interactions for Machine Learning☆220Updated this week
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆134Updated 5 months ago
- ☆42Updated this week
- ☆42Updated 2 weeks ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆76Updated last year
- TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!☆113Updated last year
- Python implementation of binary and multi-class Venn-ABERS calibration☆133Updated 2 months ago
- Codebase the paper "The Remarkable Robustness of LLMs: Stages of Inference?"☆15Updated 4 months ago
- TimeSHAP explains Recurrent Neural Network predictions.☆162Updated 11 months ago
- An Open-Source Library for the interpretability of time series classifiers☆122Updated 2 months ago
- All the material needed to use MC-CP and the Adaptive MC Dropout method☆20Updated last month
- A novel approach for synthesizing tabular data using pretrained large language models☆284Updated 3 weeks ago
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆86Updated last month