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airoldilab
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.
Maintained by Junhyung Lyle Kim. Last updated 1 years ago.
big-datadata-analysisgradient-descentstatisticsopenblascpp
62 stars 7.25 score 71 scripts
techtonique
bcn:Boosted Configuration Networks
Boosted Configuration (neural) Networks for supervised learning.
Maintained by T. Moudiki. Last updated 6 months ago.
machine-learningneural-networksstatistical-learningcpp
5 stars 4.00 score 4 scripts