From becb9e44d1171433b05b79b115fdd00468ad46b3 Mon Sep 17 00:00:00 2001 From: Masashi SHIBATA Date: Fri, 9 Aug 2019 22:53:02 +0900 Subject: [PATCH] goptuna: hyperparameter optimization framework. (#2636) --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 8c2774b8..d5b42946 100644 --- a/README.md +++ b/README.md @@ -971,6 +971,7 @@ See [go-hardware](https://github.com/rakyll/go-hardware) for a comprehensive lis * [golinear](https://github.com/danieldk/golinear) - liblinear bindings for Go. * [GoMind](https://github.com/surenderthakran/gomind) - A simplistic Neural Network Library in Go. * [goml](https://github.com/cdipaolo/goml) - On-line Machine Learning in Go. +* [Goptuna](https://github.com/c-bata/goptuna) - Bayesian optimization framework for black-box functions written in Go. Everything will be optimized. * [goRecommend](https://github.com/timkaye11/goRecommend) - Recommendation Algorithms library written in Go. * [gorgonia](https://github.com/chewxy/gorgonia) - graph-based computational library like Theano for Go that provides primitives for building various machine learning and neural network algorithms. * [gorse](https://github.com/zhenghaoz/gorse) - A High Performance Recommender System Package based on Collaborative Filtering for Go.