Random Search Python Packages

gradient-free-optimizers

Lightweight optimization with local, global, population-based and sequential techniques across mixed search spaces

test-tube

Python library to easily log experiments and parallelize hyperparameter search for neural networks

pypop7

[JMLR (CCF-A)] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* algorithm variants. In the near future, we will add Learning-Based Optimizers as its extensions. [https://jmlr.org/papers/v25/23-0386.html]

marsopt

Mixed Adaptive Random Search for Optimization

automlpy

This package is an automatic machine learning module whose function is to optimize the hyper-parameters of an automatic learning model.

lenskit-auto

LensKit-Auto is built as a wrapper around the Python LensKit recommender-system library. It automates algorithm selection and hyper parameter optimization and can build ensemble models based on the LensKit models.

bfas

Brute Force Architecture Search

lkauto

An AutoRecSys Library built around LensKit. Performs automatic algorithm selection, hyperparameter optimzation and ensembling on LensKit models.

swarmops

Heuristic Optimization for Python

randomsearch

A simple n-dimensional random search algorithm

hyperengine

Python library for Bayesian hyper-parameters optimization