wangyongjie-ntu / Awesome-explainable-AILinks
A collection of research materials on explainable AI/ML
☆1,566Updated 3 weeks ago
Alternatives and similar repositories for Awesome-explainable-AI
Users that are interested in Awesome-explainable-AI are comparing it to the libraries listed below
Sorting:
- Interesting resources related to XAI (Explainable Artificial Intelligence)☆839Updated 3 years ago
- A curated list of awesome responsible machine learning resources.☆3,881Updated last month
- OmniXAI: A Library for eXplainable AI☆951Updated last year
- ☆607Updated 2 years ago
- XAI - An eXplainability toolbox for machine learning☆1,202Updated 3 years ago
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,454Updated 3 months ago
- ☆916Updated 2 years ago
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆627Updated 3 months ago
- Interpretability and explainability of data and machine learning models☆1,742Updated 7 months ago
- Algorithms for explaining machine learning models☆2,570Updated this week
- A curated list of awesome Fairness in AI resources☆328Updated 2 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆248Updated last year
- 👋 Xplique is a Neural Networks Explainability Toolbox☆702Updated last year
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆219Updated 3 years ago
- Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources☆171Updated 4 years ago
- ☆207Updated 4 years ago
- Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…☆74Updated 3 years ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,505Updated last month
- Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are look…☆439Updated last year
- Resources for Data Centric AI☆1,127Updated last year
- Model interpretability and understanding for PyTorch☆5,427Updated 3 weeks ago
- A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…☆757Updated 5 years ago
- A toolbox to iNNvestigate neural networks' predictions!☆1,304Updated 6 months ago
- Lightweight, useful implementation of conformal prediction on real data.☆959Updated 4 months ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆294Updated 2 years ago
- Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.☆1,389Updated 2 years ago
- An index of algorithms for learning causality with data☆3,210Updated 9 months ago
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML☆784Updated 4 months ago
- This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and b…☆1,369Updated 9 months ago
- Curating a list of AutoML-related research, tools, projects and other resources☆902Updated last month