ThalesGroup / shapkitLinks
Interpret machine learning predictions using agnostic local feature importance based on Shapley Values.
☆20Updated 4 months ago
Alternatives and similar repositories for shapkit
Users that are interested in shapkit are comparing it to the libraries listed below
Sorting:
- Explainable Artificial Intelligence through Contextual Importance and Utility☆28Updated 2 months ago
- Interpret text data with LLMs (sklearn compatible).☆172Updated 2 months ago
- Experimental library integrating LLM capabilities to support causal analyses☆268Updated 2 months ago
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆269Updated 3 months ago
- Introduction to Data-Centric AI, MIT IAP 2024 🤖☆103Updated 5 months ago
- Library for creating causal chains using language models.☆81Updated 2 years ago
- Repository for the explanation method Calibrated Explanations (CE)☆70Updated this week
- Opinionated provides simple, clean stylesheets for plotting with matplotlib and seaborn.☆120Updated last year
- 📈 🐍 Multidimensional synthetic data generation with Copula and fPCA models in Python☆64Updated 2 years ago
- Bootstrap hypothesis testing Python Package. Bootstrapping is a simple method to compute statistics over your custom metrics, using only …☆15Updated 4 years ago
- ☆115Updated last year
- Python implementation of binary and multi-class Venn-ABERS calibration☆191Updated 2 months ago
- The Orange Book of Machine Learning☆51Updated 3 months ago
- Unified slicing for all Python data structures.☆36Updated 4 months ago
- Editing machine learning models to reflect human knowledge and values☆128Updated 2 years ago
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆60Updated last year
- Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.☆18Updated 2 years ago
- A Python Package for Probabilistic Prediction☆22Updated 4 years ago
- Causal Impact but with MFLES and conformal prediction intervals☆33Updated 11 months ago
- SPEAR: Programmatically label and build training data quickly.☆109Updated last year
- A curated list of various Matplotlib resources☆69Updated last year
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆175Updated last month
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 11 months ago
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆360Updated 2 weeks ago
- Integrated tool for model development and validation☆33Updated last month
- A curated list of awesome academic research, books, code of ethics, courses, databases, data sets, frameworks, institutes, maturity mode…☆98Updated this week
- tsbootstrap: generate bootstrapped time series samples in Python☆86Updated 5 months ago
- pipreqs with jupyter notebook support☆71Updated 2 years ago
- ☆41Updated 11 months ago
- Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…☆268Updated 3 months ago