Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/h2oai/mli-resources
H2O.ai Machine Learning Interpretability Resources
https://github.com/h2oai/mli-resources
accountability data-mining data-science explainable-ml fairness fatml h2o iml interpretability interpretable-ai interpretable-machine-learning interpretable-ml jupyter-notebooks machine-learning machine-learning-interpretability mli python transparency xai xgboost
Last synced: about 2 months ago
JSON representation
H2O.ai Machine Learning Interpretability Resources
- Host: GitHub
- URL: https://github.com/h2oai/mli-resources
- Owner: h2oai
- Created: 2017-10-19T20:56:24.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2020-12-12T01:21:23.000Z (almost 4 years ago)
- Last Synced: 2024-02-15T10:37:52.237Z (7 months ago)
- Topics: accountability, data-mining, data-science, explainable-ml, fairness, fatml, h2o, iml, interpretability, interpretable-ai, interpretable-machine-learning, interpretable-ml, jupyter-notebooks, machine-learning, machine-learning-interpretability, mli, python, transparency, xai, xgboost
- Language: Jupyter Notebook
- Homepage:
- Size: 65.8 MB
- Stars: 477
- Watchers: 146
- Forks: 134
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-machine-learning-resources - **[List - resources?style=social) (Table of Contents)
- Awesome-explainable-AI - https://github.com/h2oai/mli-resources - resources?style=social) (Related Repositories / Evaluation methods)