IBM / UQ360Links
Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.
☆268Updated 3 months ago
Alternatives and similar repositories for UQ360
Users that are interested in UQ360 are comparing it to the libraries listed below
Sorting:
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆298Updated 2 years ago
- Model Agnostic Counterfactual Explanations☆88Updated 3 years ago
- For calculating global feature importance using Shapley values.☆282Updated last week
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆255Updated 2 years ago
- Editing machine learning models to reflect human knowledge and values☆128Updated 2 years ago
- All about explainable AI, algorithmic fairness and more☆110Updated 2 years ago
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆46Updated 6 months ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆159Updated 3 years ago
- Conformalized Quantile Regression☆297Updated 3 years ago
- scikit-activeml: A Comprehensive and User-friendly Active Learning Library☆180Updated last week
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆252Updated last year
- Meaningful Local Explanation for Machine Learning Models☆42Updated 2 years ago
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆77Updated 2 years ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆151Updated 3 years ago
- A Library for Uncertainty Quantification.☆923Updated 8 months ago
- Data Efficient Decision Making☆249Updated 3 years ago
- Multi-Objective Counterfactuals☆43Updated 3 years ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆176Updated 3 years ago
- A Python package for unwrapping ReLU DNNs☆68Updated last year
- 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
- A library for uncertainty quantification based on PyTorch☆122Updated 3 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆70Updated 2 years ago
- Python Accumulated Local Effects package☆169Updated 2 years ago
- ☆472Updated 2 months ago
- ☆500Updated last year
- Neural Additive Models (Google Research)☆74Updated 4 years ago
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆634Updated 5 months ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 4 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
- A resource list for causality in statistics, data science and physics☆267Updated last month