Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/EthicalML/xai
XAI - An eXplainability toolbox for machine learning
https://github.com/EthicalML/xai
ai artificial-intelligence bias bias-evaluation downsampling evaluation explainability explainable-ai explainable-ml feature-importance imbalance interpretability machine-learning machine-learning-explainability ml upsampling xai xai-library
Last synced: 3 months ago
JSON representation
XAI - An eXplainability toolbox for machine learning
- Host: GitHub
- URL: https://github.com/EthicalML/xai
- Owner: EthicalML
- License: mit
- Created: 2019-01-11T20:00:09.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2021-10-30T06:35:19.000Z (about 3 years ago)
- Last Synced: 2024-05-14T13:03:16.161Z (9 months ago)
- Topics: ai, artificial-intelligence, bias, bias-evaluation, downsampling, evaluation, explainability, explainable-ai, explainable-ml, feature-importance, imbalance, interpretability, machine-learning, machine-learning-explainability, ml, upsampling, xai, xai-library
- Language: Python
- Homepage: https://ethical.institute/principles.html#commitment-3
- Size: 17.8 MB
- Stars: 1,066
- Watchers: 44
- Forks: 160
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-meteo - xai
- awesome-production-machine-learning - XAI - eXplainableAI - An eXplainability toolbox for machine learning. (Explaining Black Box Models and Datasets)
- Awesome-AIML-Data-Ops - XAI - eXplainableAI - An eXplainability toolbox for machine learning. (Explaining Black Box Models and Datasets)
- AwesomeResponsibleAI - XAI - An eXplainability toolbox for machine learning
- awesome-production-machine-learning - XAI - eXplainableAI - An eXplainability toolbox for machine learning. (Industry Strength Evaluation)
- Awesome-explainable-AI - https://github.com/EthicalML/xai - learn ![](https://img.shields.io/github/stars/EthicalML/xai?style=social) (Python Libraries(sort in alphabeta order) / Evaluation methods)
- awesome-python-machine-learning-resources - GitHub - 22% open · ⏱️ 30.10.2021): (模型的可解释性)
- awesome-interpretability - XAI