Black Box Optimization ML Frameworks

Bayesian optimization, hyperparameter tuning, and derivative-free optimization of expensive black-box functions. Does NOT include general hyperparameter optimization frameworks (AutoML), constrained optimization solvers, or trajectory/control optimization libraries.

There are 71 black box optimization frameworks tracked. 2 score above 70 (verified tier). The highest-rated is SimonBlanke/Gradient-Free-Optimizers at 78/100 with 1,261 stars and 12,789 monthly downloads. 1 of the top 10 are actively maintained.

Get all 71 projects as JSON

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#	Framework	Score	Tier	Stars	Language
1	SimonBlanke/Gradient-Free-Optimizers Lightweight optimization with local, global, population-based and sequential...	78	Verified	1,261	Python
2	emdgroup/baybe Bayesian Optimization and Design of Experiments	71	Verified	439	Python
3	Gurobi/gurobi-machinelearning Formulate trained predictors in Gurobi models	67	Established	248	Python
4	heal-research/pyoperon Python bindings and scikit-learn interface for the Operon library for...	62	Established	71	C++
5	simon-hirsch/ondil A package for online distributional learning.	61	Established	32	Python
6	GAMS-dev/gamspy Python-based algebraic modeling interface to GAMS	60	Established	115	Python
7	osqp/osqp The Operator Splitting QP Solver	54	Established	2,086	C
8	scikit-optimize/scikit-optimize Sequential model-based optimization with a `scipy.optimize` interface	51	Established	2,818	Python
9	mathLab/Smithers Mathematical interdisciplinary toolbox for helping engineers, researchers...	47	Emerging	20	C++
10	hwiberg/OptiCL An end-to-end framework for mixed-integer optimization with data-driven...	47	Emerging	140	Jupyter Notebook
11	google/vizier Python-based research interface for blackbox and hyperparameter...	46	Emerging	1,633	Python
12	mlr-org/bbotk Black-box optimization framework for R.	46	Emerging	26	R
13	IDEALLab/EngiOpt Learning and optimization algorithms compatible with EngiBench	44	Emerging	15	Jupyter Notebook
14	leanprover/Pantograph (Mirror) A Machine-to-Machine Interaction System for Lean 4	44	Emerging	56	Lean
15	eyounx/ZOOpt A python package of Zeroth-Order Optimization (ZOOpt)	43	Emerging	413	Python
16	bigd4/PyNEP A python interface of NEP	42	Emerging	68	C++
17	wujian16/Cornell-MOE A Python library for the state-of-the-art Bayesian optimization algorithms,...	42	Emerging	275	C++
18	dmeoli/optiml Optimizers for/and sklearn compatible Machine Learning models	40	Emerging	10	Python
19	machinelearningnuremberg/HPO-B [NeurIPS DBT 2021] HPO-B	40	Emerging	41	Python
20	OpenOCL/OpenOCL Open Optimal Control Library for Matlab. Trajectory Optimization and...	40	Emerging	416	MATLAB
21	google-research/hyperbo Pre-trained Gaussian processes for Bayesian optimization	39	Emerging	100	Python
22	Opt-Mucca/PySCIPOpt-ML Python interface to automatically formulate Machine Learning models into...	38	Emerging	40	Python
23	CyrilJl/OptiMask Efficiently finding the largest (non-necessarily contiguous) sub-matrix...	36	Emerging	1	Jupyter Notebook
24	nicholaslourie/opda Design and analyze optimal deep learning models.	36	Emerging	29	Jupyter Notebook
25	statistical-python/yaglm A python package for penalized generalized linear models that supports...	35	Emerging	58	Python
26	llnl/dmx-learn A Python package for creating and training deep graphical models for...	35	Emerging	7	Jupyter Notebook
27	dsiervo/sc3-autotuner Bayesian optimization approach for tuning SeisComP3's scautopick and scanloc...	34	Emerging	3	Python
28	neildhir/DCBO Dynamic causal Bayesian optimisation (NeurIPS 2021)	34	Emerging	40	Jupyter Notebook
29	d4l3k/go-bayesopt A library for doing Bayesian Optimization using Gaussian Processes (blackbox...	32	Emerging	51	Go
30	Sandbergo/branch2learn :trident: Learning to Branch in Mixed Integer Linear Programming with Graph...	32	Emerging	20	Python
31	isse-augsburg/minibrass Modeling preferences and soft constraints -- qualitatively and...	31	Emerging	17	Jupyter Notebook
32	KonstantinRiedl/CBOGlobalConvergenceAnalysis Numerical illustration of a novel analysis framework for consensus-based...	30	Emerging	20	MATLAB
33	SebastianSchmidl/pyonlinesvr Python-Wrapper for Francesco Parrella's OnlineSVR C++ implementation with...	29	Experimental	6	C++
34	ma921/SOBER Fast Bayesian optimization, quadrature, inference over arbitrary domain...	28	Experimental	33	Jupyter Notebook
35	li-lf/PyNOL A Python Package for Non-stationary Online Learning (PyNOL)	28	Experimental	34	Python
36	symbench/Anvil An open-source SciML tool for automated design evaluation & optimization...	28	Experimental	17	Python
37	vthorey/benderopt Black-box optimization library	27	Experimental	87	Jupyter Notebook
38	PV-Lab/ZoMBI Zooming Memory Based Initialization (ZoMBI) algorithm for discovery of...	27	Experimental	19	Jupyter Notebook
39	changkun/bo 🔍 Bayesian Optimization in Go	27	Experimental	9	Go
40	mit-wu-lab/learning-to-configure-separators [NeurIPS 2023] Learning to Configure Separators in Branch-and-Cut	26	Experimental	21	Python
41	tsoernes/gfsopt Convenient hyperparameter optimization	26	Experimental	14	Python
42	droyti46/zoopy ZooPy is a Python library designed for analyzing and processing biological...	25	Experimental	6	Python
43	mlr-org/mlr3mbo Flexible Bayesian Optimization in R	25	Experimental	26	R
44	IntelligentControlSystems/bayesopt4ros Bayesian Optimisation package for ROS	24	Experimental	16	Python
45	sparks-baird/crabnet-hyperparameter Using Bayesian optimization via Ax platform + SAASBO model to simultaneously...	24	Experimental	4	HTML
46	AidinHamedi/Optimizer-Benchmark A benchmarking suite for evaluating PyTorch optimization algorithms on 2D...	24	Experimental	9	Python
47	joschout/SubmodularMaximization A collection of optimization algorithms for maximizing unconstrained...	23	Experimental	22	Python
48	mines-opt-ml/fpo-dys Operator splitting can be used to design easy-to-train models for...	22	Experimental	7	Jupyter Notebook
49	richardcsuwandi/awesome-bo A curated repository of awesome Bayesian optimization resources.	22	Experimental	13	—
50	ComputationalDesignLab/scimlstudio Provides various ML models for engineering and scientific applications	22	Experimental	—	Python
51	prithvi-ramrucha/Capstone-Project Bayesian optimisation of black-box functions (with direct relevance to...	22	Experimental	—	Jupyter Notebook
52	Techtonique/GPopt Bayesian optimization using Gaussian Process regression (Python)	22	Experimental	3	HTML
53	mikediessner/nubo NUBO is a Bayesian optimisation framework for the optimisation of...	22	Experimental	14	Python
54	fouratifares/ECP Every Call is Precious: Global Optimization of Black-Box Functions with...	21	Experimental	16	Jupyter Notebook
55	emdgroup/baybe-ac24-workshop Accelerate 2024 Workshop on Bayesian Optimization Recipes With BayBE	21	Experimental	10	Jupyter Notebook
56	chziakas/backbone-learn A Library for Scaling Mixed-Integer Optimization-Based Machine Learning.	20	Experimental	12	Python
57	machinelearningnuremberg/DeepRankingEnsembles [ICLR 2023] Deep Ranking Ensembles for Hyperparameter Optimization	20	Experimental	15	Python
58	vardhah/UUV-design-optimization A design optimization study of underwater vehicle using Bayesian...	20	Experimental	13	Jupyter Notebook
59	poyentung/baosa Benchmark suite for active optimisation in scientific discovery, featuring...	19	Experimental	6	Python
60	rahulptel/HMORDD Heuristic Multiobjective Discrete Optimization using Restricted Decision Diagrams	19	Experimental	—	C++
61	ejgallego/pycoq Python bindings for the Coq interactive proof assistant	18	Experimental	57	OCaml
62	qbarthelemy/PyPermut Python package for permutation tests, for statistics and machine learning.	17	Experimental	26	Python
63	samuelkim314/DeepBO Deep Bayesian Optimization for Problems with High-Dimensional Structure	16	Experimental	16	Python
64	Quantum-Software-Development/gaussian-processes-bayesian-optimization- 📈 A comprehensive course on Gaussian Processes and Bayesian Optimization,...	16	Experimental	1	Jupyter Notebook
65	aryandeshwal/BOPS Python implementation of Bayesian optimization over permutation spaces.	15	Experimental	19	MATLAB
66	EvansMatz/RF2.0_WP3_D3.1 Bayesian optimization and BAX studies for Cheetah-based accelerator simulations.	15	Experimental	—	Jupyter Notebook
67	KonstantinRiedl/CBOSaddlePoints A consensus-based optimization methods for saddle point problems (CBO-SP)	12	Experimental	4	MATLAB
68	machine-learning-tutorial/bayesian-optimization An introduction to Bayesian optimization with an example of accelerator tuning task.	12	Experimental	4	Jupyter Notebook
69	haydenhigg/poe parameter optimizers	12	Experimental	1	Go
70	SUPREME-Snaze/permutations A local easy-to-use password manager written in python with multiple User Interfaces	11	Experimental	—	—
71	dawnmy/optBox Tool box for parameter optimization	10	Experimental	1	Go