Hyperparameter Optimization ML Frameworks

Frameworks and tools for automated hyperparameter tuning, optimization algorithms, and parameter search across machine learning models. Does NOT include general AutoML platforms, neural architecture search, or model training frameworks without hyperparameter optimization focus.

There are 81 hyperparameter optimization frameworks tracked. 4 score above 70 (verified tier). The highest-rated is optuna/optuna at 85/100 with 13,673 stars. 1 of the top 10 are actively maintained.

Get all 81 projects as JSON

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#	Framework	Score	Tier	Stars	Language
1	optuna/optuna A hyperparameter optimization framework	85	Verified	13,673	Python
2	keras-team/keras-tuner A Hyperparameter Tuning Library for Keras	78	Verified	2,917	Python
3	syne-tune/syne-tune Large scale and asynchronous Hyperparameter and Architecture Optimization at...	70	Verified	421	Python
4	deephyper/deephyper DeepHyper: A Python Package for Massively Parallel Hyperparameter...	70	Verified	305	Python
5	KernelTuner/kernel_tuner Kernel Tuner	67	Established	389	Python
6	tensorflow/adanet Fast and flexible AutoML with learning guarantees.	64	Established	3,457	Jupyter Notebook
7	Epistimio/orion Asynchronous Distributed Hyperparameter Optimization.	61	Established	301	Python
8	discovery-unicamp/Minerva Minerva is a framework for training machine learning models for researchers.	58	Established	8	Python
9	optuna/optuna-examples Examples for https://github.com/optuna/optuna	57	Established	838	Python
10	autonomio/talos Hyperparameter Experiments with TensorFlow and Keras	57	Established	1,636	Python
11	jmrichardson/tuneta Intelligently optimizes technical indicators and optionally selects the...	56	Established	457	Python
12	optuna/optunahub Python library to use and implement packages in OptunaHub	56	Established	55	Python
13	hyperactive-project/Hyperactive A unified interface for optimization algorithms and experiments	55	Established	546	Python
14	HunterMcGushion/hyperparameter_hunter Easy hyperparameter optimization and automatic result saving across machine...	55	Established	708	Python
15	optuna/optunahub-registry The registry of the OptunaHub packages	52	Established	50	Jupyter Notebook
16	w4k2/problexity The problexity is an open-source python library containing the...	50	Established	28	Python
17	ARM-software/mango Parallel Hyperparameter Tuning in Python	50	Established	418	Jupyter Notebook
18	young-geng/mlxu Machine Learning eXperiment Utilities	48	Emerging	48	Python
19	fraunhoferportugal/pymdma pymdma	46	Emerging	57	Python
20	DIYer22/boxx Tool-box for efficient build and debug in Python. Especially for Scientific...	45	Emerging	516	Python
21	canbooo/experiment-design Tools to create experiment designs	45	Emerging	6	Python
22	thunlp/OpenDelta A plug-and-play library for parameter-efficient-tuning (Delta Tuning)	45	Emerging	1,040	Python
23	kalyaniuniversity/MC4 An implementation of Markov Chain Type 4 Rank Aggregation algorithm in Python	45	Emerging	26	Python
24	LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms Implementation of hyperparameter optimization/tuning methods for machine...	44	Emerging	1,321	Jupyter Notebook
25	solegalli/hyperparameter-optimization Code repository for the online course Hyperparameter Optimization for...	44	Emerging	141	Jupyter Notebook
26	tomrussobuilds/orchard-ml Modular PyTorch framework: Pydantic schemas + Optuna optimization +...	44	Emerging	11	Python
27	tune-the-model/tune-the-model-py Python SDK for Tune The Model API	43	Emerging	12	Python
28	ches-001/metatune Search for a model and corresponding hyperparameters that best model your data	43	Emerging	11	Python
29	Delta-ML/delta DELTA is a deep learning based natural language and speech processing...	43	Emerging	1,607	Python
30	movingpandas/mobiml Framework for machine learning from movement data	42	Emerging	9	Python
31	menpo/menpo A statistical modelling toolkit, providing all the tools required to build,...	42	Emerging	330	Python
32	omimo/PyMO A library for machine learning research on motion capture data	42	Emerging	361	Python
33	klieret/wandb-offline-sync-hook A convenient way to trigger synchronizations to wandb / Weights & Biases if...	41	Emerging	90	Python
34	GabbyTab/boofun A toolkit for teaching, learning, and doing research in Boolean function...	41	Emerging	6	Jupyter Notebook
35	optuna/optunahub-web Frontend of OptunaHub Registry	40	Emerging	10	HTML
36	automl/Auto-PyTorch Automatic architecture search and hyperparameter optimization for PyTorch	40	Emerging	2,534	Python
37	joeddav/devol Genetic neural architecture search with Keras	39	Emerging	952	Python
38	sherpa-ai/sherpa Hyperparameter optimization that enables researchers to experiment,...	39	Emerging	345	JavaScript
39	xadrianzetx/optuna-distributed Distributed hyperparameter optimization made easy	38	Emerging	38	Python
40	zygmuntz/hyperband Tuning hyperparams fast with Hyperband	38	Emerging	596	Python
41	TorkamaniLab/zoish Zoish is a Python package that streamlines machine learning by leveraging...	38	Emerging	11	Python
42	pyhopper/pyhopper PyHopper is a hyperparameter optimizer, made specifically for...	37	Emerging	85	Python
43	Faycal214/optiflowx A lightweight Python library for hyperparameter optimization using...	36	Emerging	1	Python
44	sibirbil/marsopt Mixed Adaptive Random Search (MARS) for Optimization	36	Emerging	30	Python
45	awslabs/adatune Gradient based Hyperparameter Tuning library in PyTorch	34	Emerging	291	Python
46	YuchenJin/autolrs Automatic learning-rate scheduler	34	Emerging	46	Python
47	addb-swstarlab/K2vTune K2vTune (A Workload-aware Configuration Tuning for RocksDB)	33	Emerging	28	Jupyter Notebook
48	oswaldoludwig/kappaTune A PyTorch-based optimizer wrapper for continual learning via selective...	33	Emerging	12	Python
49	autodeepnet/autodeepnet Automated deep learning!	33	Emerging	25	Python
50	aadya940/chainopy ChainoPy: A Python Library for Discrete Time Markov Chain based stochastic analysis	32	Emerging	22	Jupyter Notebook
51	nextflow-io/hyperopt Nextflow pipeline for hyperparameter optimization of machine learning models	32	Emerging	25	Python
52	keyhankamyar/SpaX Pythonic, type-safe search space configuration for HPO (hyperparameter...	32	Emerging	9	Python
53	optuna/optuna-fast-fanova [NOT MAINTAINED] Cython accelerated fANOVA implementation for Optuna.	31	Emerging	25	Python
54	piteren/pypaq little Python tools, mainly useful for tasks related to machine learning, etc.	31	Emerging	1	Python
55	AmanPriyanshu/DP-HyperparamTuning DP-HyperparamTuning offers an array of tools for fast and easy hypertuning...	30	Emerging	23	Jupyter Notebook
56	matlab-deep-learning/Hyperparameter-Tuning-in-MATLAB-using-Experiment-Manager-and-TensorFlow This example shows how to use MATLAB to train a TensorFlow model and tune...	27	Experimental	18	MATLAB
57	letian-zhang/ANS Autodidactic Neurosurgeon Collaborative Deep Inference for Mobile Edge...	26	Experimental	42	Python
58	kwatcharasupat/latte Latte: Cross-framework Python Package for Evaluation of Latent-based...	26	Experimental	37	Python
59	cmu-sei/juneberry Juneberry improves the experience of machine learning experimentation by...	25	Experimental	33	Python
60	reiase/hyperparameter Hyperparameter: The High-Performance Configuration Library for AI Systems	25	Experimental	22	Python
61	autonomio/studio GUI for Keras and TensorFlow with integrated hyperparameter optimization and NLP	24	Experimental	21	CSS
62	Mojusko/experiment-design-mdp Python library for adaptive experiment design with state-of-art ML tools	24	Experimental	11	Python
63	galatolofederico/easyopt zero-code hyperparameters optimization framework	24	Experimental	14	Python
64	automl/interactive-mo-ml Interactive Hyperparameter Optimization in Multi-Objective Problems via...	23	Experimental	1	Python
65	elena-ecn/optuna-optimization-for-PyTorch-CNN Hyperparameter optimization study for a PyTorch CNN with Optuna.	23	Experimental	21	Python
66	TSltd/bitpacked_phase_router A deterministic degree-weighted mixing operator that implements a...	23	Experimental	1	Python
67	diputs-sudo/hyperassist A modular tool for analyzing machine learning training logs and...	23	Experimental	4	Python
68	anikchand461/lazytune A hyperparameter optimization framework	22	Experimental	—	HTML
69	Elliot-Chan-120/BlueTuna A multi-stage hyperparameter optimization engine for binary classifiers,...	22	Experimental	—	Python
70	intelligentiaomni/aletheia-research-open An open ML research tournament focused on efficient model design, parameter...	22	Experimental	—	Python
71	nick-yudin/modeldelta CLI tool to compare model checkpoints — weight deltas, SVD structure,...	22	Experimental	—	Python
72	Data-Science-Big-Data-Research-Lab/MetaGen MetaGen: A framework for metaheuristic development and hyperparameter...	20	Experimental	32	Python
73	grailbio/diviner Diviner is a serverless machine learning and hyper parameter tuning platform	19	Experimental	23	Go
74	eigenein/rust-hyperopt Tree-of-Parzen-estimators hyperparameter optimization	18	Experimental	3	Rust
75	martin-stoyanov/hyperparameters-site hyperparameters is a Javascript library for hyperparameter optimization.	16	Experimental	4	JavaScript
76	fabprezja/Deep-Learning-TPBook-Points Some Key Points from the Deep Learning Tuning Playbook	16	Experimental	3	—
77	AshishParulekar/DeepPlanner 🧠 Enhance decision-making with DeepPlanner, an AI-driven tool that optimizes...	14	Experimental	—	—
78	Kamal-Shirupa/Neural-Network-Design-with-NLP A user-friendly system that uses NLP and AutoKeras to automatically generate...	14	Experimental	3	Python
79	robmurphy-systems/ml-hyperparameter-optimization Optimization of ML models using hyperparameter search techniques	14	Experimental	—	—
80	angelinbeni/SVM_Hyperparameter_optimization Matlab code for hyperparameter optimization of SVM using Haris Hawks Algorithm	13	Experimental	8	MATLAB
81	XiaoyaLiao/strategy-slip A decision optimization tool for everyone	12	Experimental	1	—

Comparisons in this category

optuna and optuna-examples (85 vs 57) optuna and orion (85 vs 61) optuna and optunahub (85 vs 56) keras-tuner and kernel_tuner (78 vs 67) deephyper and Hyperactive (70 vs 55) deephyper and orion (70 vs 61) optunahub and optunahub-registry (56 vs 52)