Random Search Python Packages

test-tube

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

gradient-free-optimizers

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

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 (MARS) for Optimization

automlpy

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

bfas

Brute Force Architecture Search

lenskit-auto

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

lkauto

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

randomsearch

A simple n-dimensional random search algorithm

swarmops

Heuristic Optimization for Python

hyperengine

Python library for Bayesian hyper-parameters optimization