A small library for managing deep learning models, hyperparameters and datasets
Tools for Optuna, MLflow and the integration of both.
PyTorch implementation of Proximal Gradient Algorithms a la Parikh and Boyd (2014). Useful for Auto-Sizing (Murray and Chiang 2015, Murray et al. 2019).
Automatically create a config of hyper-parameters from global variables
A portable configuration tool to manage hyperparameters and settings of your experiments.
