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Explainable Automated Machine Learning Framework for Predicting the Risk of Major Adverse Cardiac Event (MACE)
A hyperparameter optimization framework
Automated Machine Learning with scikit-learn
A curated list of automated machine learning papers, articles, tutorials, slides and projects
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
A Hyperparameter Tuning Library for Keras
? Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Evaluation and Tracking for LLM Experiments
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
A collection of research papers and software related to explainability in graph machine learning.
A library for graph deep learning research