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.

lenskit-auto

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

bfas

Brute Force Architecture Search

hyperphoenixcv

Resumable hyperparameter search for scikit-learn, backed by local SQLite. Restart interrupted experiments without losing completed trials.

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