#other #accountability #awesome #awesome_list #data_mining #data_science #explainable_ml #fairness #fatml #iml #interpretability #interpretable_ai #interpretable_deep_learning #interpretable_machine_learning #interpretable_ml #machine_learning #machine_learning_interpretability #python #r #transparency #xai
https://github.com/jphall663/awesome-machine-learning-interpretability
https://github.com/jphall663/awesome-machine-learning-interpretability
GitHub
GitHub - jphall663/awesome-machine-learning-interpretability: A curated list of awesome responsible machine learning resources.
A curated list of awesome responsible machine learning resources. - jphall663/awesome-machine-learning-interpretability
#other #deep_learning #graph #graph_algorithms #awesome_list #graphml #explainable_ai #explainable_ml
https://github.com/AstraZeneca/awesome-explainable-graph-reasoning
https://github.com/AstraZeneca/awesome-explainable-graph-reasoning
GitHub
GitHub - AstraZeneca/awesome-explainable-graph-reasoning: A collection of research papers and software related to explainability…
A collection of research papers and software related to explainability in graph machine learning. - AstraZeneca/awesome-explainable-graph-reasoning
#python #artificial_intelligence #automl #clickhouse #explainable_ai #explainable_ml #hacktoberfest #machine_learning #machine_learning_api #mariadb #ml #mysql #postgresql #pytorch #singlestore #snowflake
https://github.com/mindsdb/mindsdb
https://github.com/mindsdb/mindsdb
GitHub
GitHub - mindsdb/mindsdb: Federated query engine for AI - The only MCP Server you'll ever need
Federated query engine for AI - The only MCP Server you'll ever need - mindsdb/mindsdb
#jupyter_notebook #ethical_artificial_intelligence #explainability #explainable_ml #interpretability #lime #machine_learning #python #shap #transparency
https://github.com/MAIF/shapash
https://github.com/MAIF/shapash
GitHub
GitHub - MAIF/shapash: 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine…
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models - MAIF/shapash