17 results found Sort:

97
1.5k
apache-2.0
24
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Created 2022-02-16
1,158 commits to main branch, last one a day ago
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
Created 2020-04-04
937 commits to master branch, last one 14 days ago
43
323
bsd-3-clause
3
PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., COBY...
Created 2020-06-10
5,346 commits to main branch, last one 24 days ago
22
262
mit
10
A hyperparameter optimization framework, inspired by Optuna.
Created 2019-07-24
798 commits to main branch, last one 6 months ago
Elo ratings for global black box derivative-free optimizers
Created 2020-10-23
300 commits to main branch, last one 11 months ago
23
120
lgpl-3.0
7
NOMAD - A blackbox optimization software
Created 2019-12-17
695 commits to master branch, last one 3 months ago
16
107
bsd-3-clause
4
Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。
Created 2020-12-14
99 commits to main branch, last one 3 years ago
14
90
apache-2.0
11
Distribution transparent Machine Learning experiments on Apache Spark
Created 2019-02-18
97 commits to master branch, last one 10 months ago
Generalized and Efficient Blackbox Optimization System.
Created 2019-05-02
607 commits to master branch, last one about a year ago
Python module for CEC 2017 single objective optimization test function suite.
Created 2020-03-11
28 commits to master branch, last one 11 months ago
8
75
apache-2.0
7
Black box hyperparameter optimization made easy.
Created 2017-09-04
307 commits to master branch, last one about a year ago
6
48
other
9
Julia interface to the NOMAD blackbox optimization software
Created 2019-04-01
247 commits to master branch, last one 3 months ago
[ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Diffenderfer, Jiancheng Liu, Konstantinos Parasyris, Yihua Zhang,...
Created 2023-11-01
13 commits to main branch, last one 2 months ago