hyperparameter-optimization topic
Hypernets
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
syne-tune
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
Cornell-MOE
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
bayesian-optimization
Python code for bayesian optimization using Gaussian processes
BTB
A simple, extensible library for developing AutoML systems
deeplearning-notes
Notes for Deep Learning Specialization Courses led by Andrew Ng.
Simple
Experimental Global Optimization Algorithm
GPflowOpt
Bayesian Optimization using GPflow
mlrMBO
Toolbox for Bayesian Optimization and Model-Based Optimization in R
Hyperopt.jl
Hyperparameter optimization in Julia.