Linking pages
- GitHub - jphall663/awesome-machine-learning-interpretability: A curated list of awesome machine learning interpretability resources. https://github.com/jphall663/awesome-machine-learning-interpretability 0 comments
- GitHub - EthicalML/awesome-production-machine-learning: A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning https://github.com/EthicalML/awesome-production-machine-learning 0 comments
- GitHub - ml-tooling/best-of-ml-python: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. https://github.com/ml-tooling/best-of-ml-python 0 comments
- GitHub - firmai/ml-fairness-framework: FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai) https://github.com/firmai/fairput/blob/master/README.md 0 comments
- GitHub - kelvins/awesome-mlops: A curated list of awesome MLOps tools https://github.com/kelvins/awesome-mlops 0 comments
- Model inspection and interpretation at Seldon with Janis Klaise, Data Scientist at Seldon (Practical AI #48) |> Changelog https://changelog.com/practicalai/48 0 comments
- Machine Learning Toolbox https://amitness.com/toolbox/ 0 comments
- GitHub - Renumics/awesome-open-data-centric-ai: Curated list of open source tooling for data-centric AI on unstructured data. https://github.com/Renumics/awesome-open-data-centric-ai 0 comments
Linked pages
- conda-forge | community driven packaging for conda https://conda-forge.org/ 0 comments
- [1612.08468] Visualizing the Effects of Predictor Variables in Black Box Supervised Learning Models https://arxiv.org/abs/1612.08468 0 comments
- [1703.01365] Axiomatic Attribution for Deep Networks https://arxiv.org/abs/1703.01365 0 comments
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