Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/Jianbo-Lab/L2X
https://github.com/Jianbo-Lab/L2X
model-interpretation
Last synced: about 2 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/Jianbo-Lab/L2X
- Owner: Jianbo-Lab
- Created: 2018-02-21T20:33:15.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2021-05-10T09:00:33.000Z (over 3 years ago)
- Last Synced: 2024-08-03T01:14:44.563Z (5 months ago)
- Topics: model-interpretation
- Language: Python
- Size: 107 MB
- Stars: 123
- Watchers: 12
- Forks: 36
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-production-machine-learning - L2X - Lab/L2X.svg?style=social) - Code for replicating the experiments in the paper ["Learning to Explain: An Information-Theoretic Perspective on Model Interpretation"](https://arxiv.org/pdf/1802.07814.pdf) at ICML 2018 (Explaining Black Box Models and Datasets)
- Awesome-AIML-Data-Ops - L2X - Lab/L2X.svg?style=social) - Code for replicating the experiments in the paper ["Learning to Explain: An Information-Theoretic Perspective on Model Interpretation"](https://arxiv.org/pdf/1802.07814.pdf) at ICML 2018 (Explaining Black Box Models and Datasets)
- awesome-production-machine-learning - L2X - Lab/L2X.svg?style=social) - Code for replicating the experiments in the paper ["Learning to Explain: An Information-Theoretic Perspective on Model Interpretation"](https://arxiv.org/pdf/1802.07814.pdf) at ICML 2018. (Explaining Black Box Models and Datasets)