The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
updated at Nov. 10, 2024, 2:13 a.m.
A coding exercise: let's convert dirty machine learning code into clean code using a Pipeline - which is the Pipe and Filter Design Pattern applied to Machine Learning.
updated at Aug. 23, 2024, 7:34 p.m.
A curated list for resources on Neuraxle.
updated at July 12, 2021, 9:28 p.m.