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GitHub / Francesco-Sovrano / DoXpy
Replication package for the KNOSYS paper titled "An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability".
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Francesco-Sovrano%2FDoXpy
Stars: 7
Forks: 2
Open Issues: 0
License: mit
Language: Python
Repo Size: 1.49 MB
Dependencies:
36
Created: over 2 years ago
Updated: 29 days ago
Last pushed: 4 months ago
Last synced: 29 days ago
Topics: explainability, explainability-metric, explainable-ai, xai, xai-analytics, xai-evaluation
Files
Dependencies
- bs4 *
- chardet ==4.0.0
- concepts ==0.9.1
- gensim ==4.2.0
- hnswlib ==0.6.2
- keras ==2.2.4
- lxml ==4.5.2
- matplotlib *
- more_itertools *
- networkx ==2.6.2
- nlp ==0.4.0
- nltk *
- numpy *
- pandas ==1.1.4
- pathos ==0.2.8
- pdfminer *
- protobuf ==3.20.1
- pydot ==1.4.2
- pydotplus ==2.0.2
- python-Levenshtein *
- pywsd ==1.2.4
- scikit-learn *
- scipy *
- sentence_transformers ==2.0.0
- sortedcontainers ==2.1.0
- spacy ==3.4.1
- tensorflow ==2.5.0
- tensorflow_hub ==0.12.0
- tensorflow_text ==2.5.0
- tika *
- torch ==1.10.0
- tqdm *
- transformers ==4.8.2
- unidecode ==1.3.6
- wikipedia ==1.4.0
- wn ==0.0.23