sgd: Stochastic Gradient Descent for Scalable Estimation
Junhyung Lyle Kim, Dustin Tran, Panos Toulis · 2015
A fast and flexible set of tools for large scale estimation. It features many stochastic gradient methods, built-in models, visualization tools, automated hyperparameter tuning, model checking, interval estimation, and convergence diagnostics.