Surrogate-models Alternatives
Similar projects and alternatives to surrogate-models
-
Gradient-Free-Optimizers
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
-
Hyperactive
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
-
optimization-tutorial
Tutorials for the optimization techniques used in Gradient-Free-Optimizers and Hyperactive.
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
surrogate-models reviews and mentions
-
Gradient-Free-Optimizers A collection of modern optimization methods in Python
Yes it is quite easy to switch algorithms via the "gpr" parameter. You just have to write a wrapper class. I am currently working on a repository that discusses how to do that in detail: https://github.com/SimonBlanke/surrogate-models
Stats
SimonBlanke/surrogate-models is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of surrogate-models is Python.
Popular Comparisons
Sponsored