Curation of Non-Mainstream ML Libraries
A curated list of 100+ non-mainstream libraries for all parts of the Machine Learning workflow
library machine-learning data-collection data-augmentation annotation visualization interpretability monitoring hyperparameter-optimization toolkit
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Objectives & Highlights

• Know existing open source libraries and prevent reinventing the wheel • Knowing tooling from data preparation to deployment known via practical experience • Improve your productivity on ML projects

Don't forget to tag @amitness in your comment.

Authors
T-shaped Machine Learning Engineer applying research to products.
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