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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

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

Hyperparameter Experiments with TensorFlow and Keras

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.