sgd - Stochastic Gradient Descent for Scalable Estimation
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.
Last updated 1 years ago
big-datadata-analysisgradient-descentstatisticsopenblascpp
7.25 score 62 stars 71 scripts 279 downloads