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 82 hyperparameter optimization frameworks tracked. 1 score above 70 (verified tier). The highest-rated is optuna/optuna at 82/100 with 13,673 stars. 1 of the top 10 are actively maintained.

Get all 82 projects as JSON

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#	Framework	Score	Tier	Stars	Language
1	optuna/optuna A hyperparameter optimization framework	82	Verified	13,673	Python
2	keras-team/keras-tuner A Hyperparameter Tuning Library for Keras	68	Established	2,917	Python
3	KernelTuner/kernel_tuner Kernel Tuner	65	Established	389	Python
4	syne-tune/syne-tune Large scale and asynchronous Hyperparameter and Architecture Optimization at...	65	Established	421	Python
5	deephyper/deephyper DeepHyper: A Python Package for Massively Parallel Hyperparameter...	64	Established	305	Python
6	optuna/optunahub Python library to use and implement packages in OptunaHub	63	Established	55	Python
7	Epistimio/orion Asynchronous Distributed Hyperparameter Optimization.	61	Established	301	Python
8	optuna/optuna-examples Examples for https://github.com/optuna/optuna	61	Established	838	Python
9	autonomio/talos Hyperparameter Experiments with TensorFlow and Keras	58	Established	1,636	Python
10	tensorflow/adanet Fast and flexible AutoML with learning guarantees.	58	Established	3,457	Jupyter Notebook
11	HunterMcGushion/hyperparameter_hunter Easy hyperparameter optimization and automatic result saving across machine...	57	Established	708	Python
12	jmrichardson/tuneta Intelligently optimizes technical indicators and optionally selects the...	57	Established	457	Python
13	hyperactive-project/Hyperactive A unified interface for optimization algorithms and experiments	56	Established	546	Python
14	optuna/optunahub-registry The registry of the OptunaHub packages	56	Established	50	Jupyter Notebook
15	discovery-unicamp/Minerva Minerva is a framework for training machine learning models for researchers.	55	Established	8	Python
16	ARM-software/mango Parallel Hyperparameter Tuning in Python	54	Established	418	Jupyter Notebook
17	thunlp/OpenDelta A plug-and-play library for parameter-efficient-tuning (Delta Tuning)	52	Established	1,040	Python
18	young-geng/mlxu Machine Learning eXperiment Utilities	51	Established	48	Python
19	solegalli/hyperparameter-optimization Code repository for the online course Hyperparameter Optimization for...	51	Established	141	Jupyter Notebook
20	LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms Implementation of hyperparameter optimization/tuning methods for machine...	51	Established	1,321	Jupyter Notebook
21	w4k2/problexity The problexity is an open-source python library containing the...	50	Established	28	Python
22	Delta-ML/delta DELTA is a deep learning based natural language and speech processing...	50	Established	1,607	Python
23	canbooo/experiment-design Tools to create experiment designs	49	Emerging	6	Python
24	omimo/PyMO A library for machine learning research on motion capture data	49	Emerging	361	Python
25	menpo/menpo A statistical modelling toolkit, providing all the tools required to build,...	49	Emerging	330	Python
26	movingpandas/mobiml Framework for machine learning from movement data	49	Emerging	9	Python
27	fraunhoferportugal/pymdma pymdma	48	Emerging	57	Python
28	klieret/wandb-offline-sync-hook A convenient way to trigger synchronizations to wandb / Weights & Biases if...	48	Emerging	90	Python
29	kalyaniuniversity/MC4 An implementation of Markov Chain Type 4 Rank Aggregation algorithm in Python	48	Emerging	26	Python
30	optuna/optunahub-web Frontend of OptunaHub Registry	47	Emerging	10	HTML
31	ches-001/metatune Search for a model and corresponding hyperparameters that best model your data	47	Emerging	11	Python
32	automl/Auto-PyTorch Automatic architecture search and hyperparameter optimization for PyTorch	47	Emerging	2,534	Python
33	sherpa-ai/sherpa Hyperparameter optimization that enables researchers to experiment,...	46	Emerging	345	JavaScript
34	joeddav/devol Genetic neural architecture search with Keras	46	Emerging	952	Python
35	DIYer22/boxx Tool-box for efficient build and debug in Python. Especially for Scientific...	45	Emerging	516	Python
36	tune-the-model/tune-the-model-py Python SDK for Tune The Model API	45	Emerging	12	Python
37	zygmuntz/hyperband Tuning hyperparams fast with Hyperband	45	Emerging	596	Python
38	pyhopper/pyhopper PyHopper is a hyperparameter optimizer, made specifically for...	44	Emerging	85	Python
39	awslabs/adatune Gradient based Hyperparameter Tuning library in PyTorch	41	Emerging	291	Python
40	YuchenJin/autolrs Automatic learning-rate scheduler	41	Emerging	46	Python
41	sibirbil/marsopt Mixed Adaptive Random Search (MARS) for Optimization	40	Emerging	30	Python
42	addb-swstarlab/K2vTune K2vTune (A Workload-aware Configuration Tuning for RocksDB)	40	Emerging	28	Jupyter Notebook
43	autodeepnet/autodeepnet Automated deep learning!	40	Emerging	25	Python
44	TorkamaniLab/zoish Zoish is a Python package that streamlines machine learning by leveraging...	39	Emerging	11	Python
45	GabbyTab/boofun A toolkit for teaching, learning, and doing research in Boolean function...	39	Emerging	6	Jupyter Notebook
46	nextflow-io/hyperopt Nextflow pipeline for hyperparameter optimization of machine learning models	39	Emerging	25	Python
47	tomrussobuilds/orchard-ml Modular PyTorch framework: Pydantic schemas + Optuna optimization +...	38	Emerging	11	Python
48	optuna/optuna-fast-fanova [NOT MAINTAINED] Cython accelerated fANOVA implementation for Optuna.	38	Emerging	25	Python
49	AmanPriyanshu/DP-HyperparamTuning DP-HyperparamTuning offers an array of tools for fast and easy hypertuning...	37	Emerging	23	Jupyter Notebook
50	Faycal214/optiflowx A lightweight Python library for hyperparameter optimization using...	36	Emerging	1	Python
51	oswaldoludwig/kappaTune A PyTorch-based optimizer wrapper for continual learning via selective...	36	Emerging	12	Python
52	aadya940/chainopy ChainoPy: A Python Library for Discrete Time Markov Chain based stochastic analysis	35	Emerging	22	Jupyter Notebook
53	xadrianzetx/optuna-distributed Distributed hyperparameter optimization made easy	35	Emerging	38	Python
54	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...	34	Emerging	18	MATLAB
55	anikchand461/lazytune A hyperparameter optimization framework	34	Emerging	—	HTML
56	kwatcharasupat/latte Latte: Cross-framework Python Package for Evaluation of Latent-based...	33	Emerging	37	Python
57	keyhankamyar/SpaX Pythonic, type-safe search space configuration for HPO (hyperparameter...	33	Emerging	9	Python
58	letian-zhang/ANS Autodidactic Neurosurgeon Collaborative Deep Inference for Mobile Edge...	33	Emerging	42	Python
59	reiase/hyperparameter Hyperparameter: The High-Performance Configuration Library for AI Systems	32	Emerging	22	Python
60	cmu-sei/juneberry Juneberry improves the experience of machine learning experimentation by...	32	Emerging	33	Python
61	galatolofederico/easyopt zero-code hyperparameters optimization framework	31	Emerging	14	Python
62	piteren/pypaq little Python tools, mainly useful for tasks related to machine learning, etc.	31	Emerging	1	Python
63	autonomio/studio GUI for Keras and TensorFlow with integrated hyperparameter optimization and NLP	31	Emerging	21	CSS
64	Mojusko/experiment-design-mdp Python library for adaptive experiment design with state-of-art ML tools	31	Emerging	11	Python
65	elena-ecn/optuna-optimization-for-PyTorch-CNN Hyperparameter optimization study for a PyTorch CNN with Optuna.	30	Emerging	21	Python
66	automl/interactive-mo-ml Interactive Hyperparameter Optimization in Multi-Objective Problems via...	30	Emerging	1	Python
67	diputs-sudo/hyperassist A modular tool for analyzing machine learning training logs and...	29	Experimental	4	Python
68	TSltd/bitpacked_phase_router A deterministic degree-weighted mixing operator that implements a...	27	Experimental	1	Python
69	Data-Science-Big-Data-Research-Lab/MetaGen MetaGen: A framework for metaheuristic development and hyperparameter...	27	Experimental	32	Python
70	grailbio/diviner Diviner is a serverless machine learning and hyper parameter tuning platform	26	Experimental	23	Go
71	eigenein/rust-hyperopt Tree-of-Parzen-estimators hyperparameter optimization	25	Experimental	3	Rust
72	fabprezja/Deep-Learning-TPBook-Points Some Key Points from the Deep Learning Tuning Playbook	23	Experimental	3	—
73	martin-stoyanov/hyperparameters-site hyperparameters is a Javascript library for hyperparameter optimization.	23	Experimental	4	JavaScript
74	nick-yudin/modeldelta CLI tool to compare model checkpoints — weight deltas, SVD structure,...	22	Experimental	—	Python
75	intelligentiaomni/aletheia-research-open An open ML research tournament focused on efficient model design, parameter...	22	Experimental	—	Python
76	Elliot-Chan-120/BlueTuna A multi-stage hyperparameter optimization engine for binary classifiers,...	22	Experimental	—	Python
77	Kamal-Shirupa/Neural-Network-Design-with-NLP A user-friendly system that uses NLP and AutoKeras to automatically generate...	20	Experimental	3	Python
78	angelinbeni/SVM_Hyperparameter_optimization Matlab code for hyperparameter optimization of SVM using Haris Hawks Algorithm	20	Experimental	8	MATLAB
79	XiaoyaLiao/strategy-slip A decision optimization tool for everyone	18	Experimental	1	—
80	robmurphy-systems/ml-hyperparameter-optimization Optimization of ML models using hyperparameter search techniques	14	Experimental	—	—
81	AshishParulekar/DeepPlanner 🧠 Enhance decision-making with DeepPlanner, an AI-driven tool that optimizes...	13	Experimental	—	—
82	mrodobbe/gandalf-doe Active learning tool for designing experiments	11	Experimental	—	Python

Comparisons in this category

optuna and optuna-examples (82 vs 61) optuna and orion (82 vs 61) optuna and optunahub (82 vs 63) optunahub and optunahub-registry (63 vs 56)