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 75 black box optimization frameworks tracked. 1 score above 70 (verified tier). The highest-rated is SimonBlanke/Gradient-Free-Optimizers at 74/100 with 1,261 stars. 1 of the top 10 are actively maintained.

Get all 75 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...	74	Verified	1,261	Python
2	Gurobi/gurobi-machinelearning Formulate trained predictors in Gurobi models	67	Established	248	Python
3	emdgroup/baybe Bayesian Optimization and Design of Experiments	67	Established	439	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.	59	Established	32	Python
6	osqp/osqp The Operator Splitting QP Solver	57	Established	2,086	C
7	GAMS-dev/gamspy Python-based algebraic modeling interface to GAMS	56	Established	115	Python
8	google/vizier Python-based research interface for blackbox and hyperparameter...	53	Established	1,633	Python
9	mlr-org/bbotk Black-box optimization framework for R.	53	Established	26	R
10	hwiberg/OptiCL An end-to-end framework for mixed-integer optimization with data-driven...	52	Established	140	Jupyter Notebook
11	scikit-optimize/scikit-optimize Sequential model-based optimization with a `scipy.optimize` interface	51	Established	2,818	Python
12	leanprover/Pantograph (Mirror) A Machine-to-Machine Interaction System for Lean 4	51	Established	56	Lean
13	eyounx/ZOOpt A python package of Zeroth-Order Optimization (ZOOpt)	50	Established	413	Python
14	bigd4/PyNEP A python interface of NEP	49	Emerging	68	C++
15	mathLab/Smithers Mathematical interdisciplinary toolbox for helping engineers, researchers...	49	Emerging	20	C++
16	wujian16/Cornell-MOE A Python library for the state-of-the-art Bayesian optimization algorithms,...	49	Emerging	275	C++
17	IDEALLab/EngiOpt Learning and optimization algorithms compatible with EngiBench	48	Emerging	15	Jupyter Notebook
18	machinelearningnuremberg/HPO-B [NeurIPS DBT 2021] HPO-B	47	Emerging	41	Python
19	OpenOCL/OpenOCL Open Optimal Control Library for Matlab. Trajectory Optimization and...	47	Emerging	416	MATLAB
20	dmeoli/optiml Optimizers for/and sklearn compatible Machine Learning models	45	Emerging	10	Python
21	CyrilJl/OptiMask Efficiently finding the largest (non-necessarily contiguous) sub-matrix...	43	Emerging	1	Jupyter Notebook
22	statistical-python/yaglm A python package for penalized generalized linear models that supports...	42	Emerging	58	Python
23	google-research/hyperbo Pre-trained Gaussian processes for Bayesian optimization	42	Emerging	100	Python
24	neildhir/DCBO Dynamic causal Bayesian optimisation (NeurIPS 2021)	41	Emerging	40	Jupyter Notebook
25	dsiervo/sc3-autotuner Bayesian optimization approach for tuning SeisComP3's scautopick and scanloc...	41	Emerging	3	Python
26	nicholaslourie/opda Design and analyze optimal deep learning models.	40	Emerging	29	Jupyter Notebook
27	Opt-Mucca/PySCIPOpt-ML Python interface to automatically formulate Machine Learning models into...	40	Emerging	40	Python
28	d4l3k/go-bayesopt A library for doing Bayesian Optimization using Gaussian Processes (blackbox...	39	Emerging	51	Go
29	Sandbergo/branch2learn :trident: Learning to Branch in Mixed Integer Linear Programming with Graph...	39	Emerging	20	Python
30	llnl/dmx-learn A Python package for creating and training deep graphical models for...	39	Emerging	7	Jupyter Notebook
31	isse-augsburg/minibrass Modeling preferences and soft constraints -- qualitatively and...	38	Emerging	17	Jupyter Notebook
32	KonstantinRiedl/CBOGlobalConvergenceAnalysis Numerical illustration of a novel analysis framework for consensus-based...	37	Emerging	20	MATLAB
33	SebastianSchmidl/pyonlinesvr Python-Wrapper for Francesco Parrella's OnlineSVR C++ implementation with...	36	Emerging	6	C++
34	li-lf/PyNOL A Python Package for Non-stationary Online Learning (PyNOL)	35	Emerging	34	Python
35	ma921/SOBER Fast Bayesian optimization, quadrature, inference over arbitrary domain...	35	Emerging	33	Jupyter Notebook
36	symbench/Anvil An open-source SciML tool for automated design evaluation & optimization...	35	Emerging	17	Python
37	PV-Lab/ZoMBI Zooming Memory Based Initialization (ZoMBI) algorithm for discovery of...	34	Emerging	19	Jupyter Notebook
38	changkun/bo 🔍 Bayesian Optimization in Go	34	Emerging	9	Go
39	vthorey/benderopt Black-box optimization library	34	Emerging	87	Jupyter Notebook
40	mit-wu-lab/learning-to-configure-separators [NeurIPS 2023] Learning to Configure Separators in Branch-and-Cut	33	Emerging	21	Python
41	mlr-org/mlr3mbo Flexible Bayesian Optimization in R	32	Emerging	26	R
42	IntelligentControlSystems/bayesopt4ros Bayesian Optimisation package for ROS	31	Emerging	16	Python
43	sparks-baird/crabnet-hyperparameter Using Bayesian optimization via Ax platform + SAASBO model to simultaneously...	31	Emerging	4	HTML
44	tsoernes/gfsopt Convenient hyperparameter optimization	30	Emerging	14	Python
45	AidinHamedi/Optimizer-Benchmark A benchmarking suite for evaluating PyTorch optimization algorithms on 2D...	30	Emerging	9	Python
46	joschout/SubmodularMaximization A collection of optimization algorithms for maximizing unconstrained...	30	Emerging	22	Python
47	Techtonique/GPopt Bayesian optimization using Gaussian Process regression (Python)	29	Experimental	3	HTML
48	droyti46/zoopy ZooPy is a Python library designed for analyzing and processing biological...	29	Experimental	6	Python
49	mines-opt-ml/fpo-dys Operator splitting can be used to design easy-to-train models for...	29	Experimental	7	Jupyter Notebook
50	mikediessner/nubo NUBO is a Bayesian optimisation framework for the optimisation of...	29	Experimental	14	Python
51	richardcsuwandi/awesome-bo A curated repository of awesome Bayesian optimization resources.	29	Experimental	13	—
52	fouratifares/ECP Every Call is Precious: Global Optimization of Black-Box Functions with...	28	Experimental	16	Jupyter Notebook
53	emdgroup/baybe-ac24-workshop Accelerate 2024 Workshop on Bayesian Optimization Recipes With BayBE	28	Experimental	10	Jupyter Notebook
54	machinelearningnuremberg/DeepRankingEnsembles [ICLR 2023] Deep Ranking Ensembles for Hyperparameter Optimization	27	Experimental	15	Python
55	chziakas/backbone-learn A Library for Scaling Mixed-Integer Optimization-Based Machine Learning.	27	Experimental	12	Python
56	vardhah/UUV-design-optimization A design optimization study of underwater vehicle using Bayesian...	27	Experimental	13	Jupyter Notebook
57	poyentung/baosa Benchmark suite for active optimisation in scientific discovery, featuring...	26	Experimental	6	Python
58	ejgallego/pycoq Python bindings for the Coq interactive proof assistant	25	Experimental	57	OCaml
59	qbarthelemy/PyPermut Python package for permutation tests, for statistics and machine learning.	24	Experimental	26	Python
60	samuelkim314/DeepBO Deep Bayesian Optimization for Problems with High-Dimensional Structure	23	Experimental	16	Python
61	aryandeshwal/BOPS Python implementation of Bayesian optimization over permutation spaces.	22	Experimental	19	MATLAB
62	ComputationalDesignLab/scimlstudio Provides various ML models for engineering and scientific applications	22	Experimental	—	Python
63	rahulptel/HMORDD Heuristic Multiobjective Discrete Optimization using Restricted Decision Diagrams	21	Experimental	—	C++
64	KonstantinRiedl/CBOSaddlePoints A consensus-based optimization methods for saddle point problems (CBO-SP)	19	Experimental	4	MATLAB
65	machine-learning-tutorial/bayesian-optimization An introduction to Bayesian optimization with an example of accelerator tuning task.	19	Experimental	4	Jupyter Notebook
66	prithvi-ramrucha/Capstone-Project Bayesian optimisation of black-box functions (with direct relevance to...	19	Experimental	—	Jupyter Notebook
67	Quantum-Software-Development/gaussian-processes-bayesian-optimization- 📈 A comprehensive course on Gaussian Processes and Bayesian Optimization,...	19	Experimental	1	Jupyter Notebook
68	EvansMatz/RF2.0_WP3_D3.1 Bayesian optimization and BAX studies for Cheetah-based accelerator simulations.	17	Experimental	—	Jupyter Notebook
69	Victorletzelter/annealed_mcl Annealed Multiple Choice Learning: Overcoming limitations of...	15	Experimental	10	Python
70	haydenhigg/poe parameter optimizers	14	Experimental	1	Go
71	infamoussoap/ConvexHull Convex optimization over a probability simplex	13	Experimental	10	Jupyter Notebook
72	Bancie/Optimization-Oracle An open-source library crafting efficient algorithms for Mixed Integer...	13	Experimental	12	Python
73	SUPREME-Snaze/permutations A local easy-to-use password manager written in python with multiple User Interfaces	13	Experimental	—	—
74	akrvrdr/VERSATILE_NEURAL_NETWORK_SOLVER Neural net solver with auto-tuned hyperparameters (Python 3.5)	11	Experimental	—	Jupyter Notebook
75	ngmsonn/Awesome_Bayesian_Optimization A curated list of awesome lists on Bayesian Optimization.	10	Experimental	2	—