Projects in Awesome Lists tagged with hyperparameter-optimization

https://github.com/negrinho/deep_architect_legacy

DeepArchitect: Automatically Designing and Training Deep Architectures

architecture-search auto-ml automatic-machine-learning deep-learning hyperparameter-optimization machine-learning neural-architecture-search

Last synced: 19 Jul 2025

https://github.com/gdikov/hypertunity

A toolset for black-box hyperparameter optimisation.

bayesian-optimization gpyopt hyperparameter-optimization slurm tensorboard

Last synced: 18 Apr 2025

https://github.com/williamlwj/pyxab

PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms

algorithm automl bandit-algorithms blackbox-optimization continuous-armed-bandit data-science hyperparameter-optimization hyperparameter-tuning lipschitz-bandit machine-learning machine-learning-algorithms online-learning optimization optimization-algorithms reinforcement-learning x-armed-bandit

Last synced: 11 Sep 2025

https://github.com/arsedler9/lfads-torch

A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.

deep-learning dynamical-systems hyperparameter-optimization neuroscience recurrent-neural-networks time-series

Last synced: 06 Feb 2026

https://github.com/AIworx-Labs/chocolate

A fully decentralized hyperparameter optimization framework

bayesian-optimization cmaes conditional-search-space hyperparameter-optimization optimization parallelism

Last synced: 11 May 2025

https://github.com/negrinho/deep_architect

A general, modular, and programmable architecture search framework

architecture-search auto-ml automatic-machine-learning colab colab-notebook deep-learning deep-neural-networks hyperparameter-optimization machine-learning neural-architecture-search neural-networks pytorch tensorflow

Last synced: 03 Aug 2025

https://github.com/solegalli/hyperparameter-optimization

Code repository for the online course Hyperparameter Optimization for Machine Learning

data-science hyperopt hyperparameter-optimization machine-learning optuna python scikit-optimize

Last synced: 06 Apr 2025

https://github.com/MolecularAI/QSARtuna

QSARtuna: QSAR model building with the optuna framework

chemprop compchem computational-chemistry explainability hyperparameter-optimization optuna peptide-modelling qsar qsar-models uncertainty-estimation

Last synced: 28 Sep 2025

https://github.com/ili3p/HORD

Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates

deep-learning-algorithms hyperparameter-optimization

Last synced: 01 May 2025

https://github.com/jrzaurin/ml-pipeline

Using Kafka-Python to illustrate a ML production pipeline

hyperopt hyperparameter-optimization kafka-python lightgbm machine-learning mlflow

Last synced: 14 Apr 2025

https://github.com/auto-flow/ultraopt

Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。

automl bayesian-optimization blackbox-optimization hyperopt hyperparameter-optimization machine-learning multi-fidelity optimization python

Last synced: 04 Apr 2026

https://github.com/seba-1511/randopt

Streamlined machine learning experiment management.

experiments hyperparameter-optimization hyperparameters visualization

Last synced: 23 Apr 2025

https://github.com/guillaume-chevalier/Hyperopt-Keras-CNN-CIFAR-100

Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.

cnn cnn-keras hyperopt hyperparameter-optimization hyperparameter-search hyperparameter-tuning hyperparameters-optimization keras tensorflow

Last synced: 21 Nov 2025

https://github.com/guillaume-chevalier/hyperopt-keras-cnn-cifar-100

Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.

cnn cnn-keras hyperopt hyperparameter-optimization hyperparameter-search hyperparameter-tuning hyperparameters-optimization keras tensorflow

Last synced: 15 Apr 2025

https://github.com/jungtaekkim/bayeso

Simple, but essential Bayesian optimization package

bayesian-optimization hyperparameter-optimization machine-learning

Last synced: 04 Apr 2025

https://github.com/microsoft/coml

Interactive coding assistant for data scientists and machine learning developers, empowered by large language models.

automated-machine automl copilot data-science hyperparameter-optimization jupyter jupyter-lab large-language-models llm machine-learning

Last synced: 04 Apr 2025

https://github.com/logicalclocks/maggy

Distribution transparent Machine Learning experiments on Apache Spark

ablation ablation-studies ablation-study automl blackbox-optimization hyperparameter-optimization hyperparameter-search hyperparameter-tuning spark

Last synced: 13 Apr 2025

https://github.com/layerai-archive/sdk

Metadata store for Production ML

collaboration data-science data-versioning deep-learning experiment-tracking hyperparameter-optimization hyperparameter-tuning keras machine-learning mlops model-versioning python pytorch reinforcement-learning sklearn tensorflow

Last synced: 30 Sep 2025

https://github.com/gmontamat/gentun

Hyperparameter tuning for machine learning models using a distributed genetic algorithm

convolutional-neural-networks cross-validation distributed-algorithm distributed-genetic-algorithm gene-encoding genetic-algorithm genetic-algorithms grid-search hyperparameter-optimization hyperparameter-tuning keras machine-learning master-worker scikit-learn tensorflow xgboost

Last synced: 15 Apr 2025

https://github.com/maxim5/hyper-engine

Python library for Bayesian hyper-parameters optimization

bayesian-optimization big-data convolutional-neural-networks data-science deep-learning gaussian-processes hyperparameter-optimization machine-learning model-selection neural-network optimization-algorithms python random-search tensorflow

Last synced: 06 Apr 2025

https://github.com/klieret/wandb-offline-sync-hook

A convenient way to trigger synchronizations to wandb / Weights & Biases if your compute nodes don't have internet!

hyperparameter-optimization hyperparameter-tuning machine-learning ray ray-tune wandb weights-and-biases

Last synced: 07 May 2025

https://github.com/evhub/bbopt

Black box hyperparameter optimization made easy.

blackbox-optimization coconut hyperparameter-optimization hyperparameter-tuning python

Last synced: 19 Aug 2025

https://github.com/msmbuilder/osprey

🦅Hyperparameter optimization for machine learning pipelines 🦅

cross-validation hyperparameter-optimization machine-learning models optimization pretty-logo python scikit-learn

Last synced: 17 Mar 2026

https://github.com/hvass-labs/swarmops

Heuristic Optimization for Python

blackbox-optimization differential-evolution hyperparameter-optimization meta-heuristic particle-swarm-optimization random-search

Last synced: 15 Apr 2025

https://github.com/openmole/mgo

Purely functional genetic algorithms for multi-objective optimisation

functional-programming genetic-algorithm hyperparameter-optimization hyperparameter-tuning hyperparameters optimisation parameter-tuning scala

Last synced: 07 Apr 2025

https://github.com/hrntsm/tunny

🐟Tunny🐟 is Grasshopper's optimization component using Optuna, an open source hyperparameter auto-optimization framework.

csharp grasshopper grasshopper3d hyperparameter-optimization optimization rhinoceros

Last synced: 10 Apr 2025

https://github.com/juliaai/mljtuning.jl

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

grid-search hyperparameter-optimization julia machine-learning mlj random-search

Last synced: 17 Mar 2025

https://github.com/rnburn/bbai

Deterministic algorithms for objective Bayesian inference and hyperparameter optimization

bayesian-statistics gaussian-processes hyperparameter-optimization machine-learning python regression-models statistics

Last synced: 01 Feb 2026

https://github.com/polyaxon/hypertune

A library for performing hyperparameter optimization

data-science deep-learning hyperparameter-optimization hyperparameter-tuning machine-learning mlops numpy scikit-learn workflow

Last synced: 24 Dec 2025

https://github.com/cog-imperial/entmoot

Multiobjective black-box optimization using gradient-boosted trees

bayesian-optimization black-box-optimization gradient-boosted-trees hyperparameter-optimization mixed-integer-programming multiobjective-optimization optimization python

Last synced: 07 Apr 2026

https://github.com/cerlymarco/keras-hypetune

A friendly python package for Keras Hyperparameters Tuning based only on NumPy and hyperopt.

deep-learning hyperparameter-optimization keras tensorflow tensorflow-keras tf-keras tuning-parameters

Last synced: 13 Apr 2025

https://github.com/wywongbd/autocluster

AutoML for clustering models in sklearn.

automl bayesian-optimization clustering hyperparameter-optimization

Last synced: 20 Nov 2025

https://github.com/gsurma/deep_traffic

MIT DeepTraffic top 2% solution (75.01 mph) 🚗.

artificial-intelligence deep-traffic dqn hyperparameter-optimization javascript machine-learning q-learning reinforcement-learning traffic

Last synced: 12 May 2025

https://github.com/mlr-org/mlr3tuning

Hyperparameter optimization package of the mlr3 ecosystem

bbotk hyperparameter-optimization hyperparameter-tuning machine-learning mlr3 optimization r r-package tune tuning

Last synced: 04 Apr 2025

https://github.com/hvass-labs/metaops

Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)

blackbox-optimization differential-evolution hyperparameter-optimization meta-heuristic nsga2 particle-swarm-optimization random-search

Last synced: 26 Jul 2025

https://github.com/gilad-rubin/hypster

HyPSTER - Configuration Framework for Optimizing AI & AI Systems

auto-ml generative-ai hyperparameter-optimization machine-learning

Last synced: 16 Jan 2026

https://github.com/ytopt-team/ytopt

ytopt: machine-learning-based autotuning and hyperparameter optimization framework using Bayesian Optimization

asynchronous-and-dynamic-task-management asynchronous-search autotune autotuning bayesian-optimization hyperparameter-optimization hyperparameter-tuning python pytorch tensorflow

Last synced: 21 Oct 2025

https://github.com/d4l3k/go-bayesopt

A library for doing Bayesian Optimization using Gaussian Processes (blackbox optimizer) in Go/Golang.

bayesianoptimization bayesopt blackbox-optimizer gaussian-processes go hyperparameter-optimization machine-learning optimization

Last synced: 12 Apr 2025

https://github.com/pomonam/self-tuning-networks

PyTorch implementation of "STNs" and "Delta-STNs".

bilevel-optimization deep-learning hyperparameter-optimization neurips-2020 pytorch self-tuning-network

Last synced: 17 Mar 2026

https://github.com/benchopt/benchmark_bilevel

Benchmark for bi-level optimization solvers

bilevel-optimization datacleaning hyperparameter-optimization

Last synced: 01 Aug 2025

https://github.com/datacanvasio/cooka

A lightweight and visual AutoML system

automated-feature-engineering automated-machine-learning automl data-science deep-learning hyperparameter-optimization machine-learning neural-network

Last synced: 16 Aug 2025

https://github.com/drchainsaw/naivegaflux.jl

Evolve Flux networks from scratch!

architecture-search deep-learning evolution-strategies flux genetic-algorithm hyperparameter-optimization machine-learning neural-networks

Last synced: 02 Jan 2026

https://github.com/arnowaczynski/spaceopt

Hyperparameter optimization via gradient boosting regression

automl hyperparameter-optimization machine-learning python

Last synced: 08 May 2025

https://github.com/balavenkatesh3322/hyperparameter_tuning

A collection of Hyper parameter tuning library.

deep-learning hyperparameter-optimization hyperparameter-tuning keras keras-tensorflow machine-learning mxnet neural-network optimization-algorithms pytorch pytorch-implmention tensorflow torchvision

Last synced: 22 Apr 2025

https://github.com/DataCanvasIO/Cooka

A lightweight and visual AutoML system

automated-feature-engineering automated-machine-learning automl data-science deep-learning hyperparameter-optimization machine-learning neural-network

Last synced: 12 May 2025

https://github.com/goktug97/bohb-hpo

Bayesian Optimization Hyperband Hyperparameter Optimization

bayesian bayesian-optimization bohb hpo hyperband hyperparameter-optimization

Last synced: 26 Apr 2025

https://github.com/fugue-project/tune

An abstraction layer for parameter tuning

distributed distributed-computing distributed-systems hyperparameter-optimization hyperparameter-tuning machine-learning parameter-tuning

Last synced: 01 Jul 2025

https://github.com/himkt/allennlp-optuna

⚡️ AllenNLP plugin for adding subcommands to use Optuna, making hyperparameter optimization easy

allennlp allennlp-subcommand hyperparameter-optimization hyperparameters jsonnet optuna

Last synced: 03 Aug 2025

https://github.com/sile/tpe

A TPE (Tree-structured Parzen Estimator) implementation in Rust

black-box-optimization hyperparameter-optimization rust tpe

Last synced: 23 Apr 2026

https://github.com/helmholtz-ai-energy/propulate

Propulate is an asynchronous population-based optimization algorithm and software package for global optimization and hyperparameter search on high-performance computers.

distributed evolutionary-algorithms genetic-algorithm hyperparameter-optimization hyperparameter-tuning optimization parallel parallel-computing python

Last synced: 08 Apr 2025

https://github.com/ucbrise/hypersched

Deadline-based hyperparameter tuning on RayTune.

distributed hyperparameter-optimization python pytorch ray

Last synced: 11 Apr 2025

https://github.com/rick12000/confopt

A Library for Conformal Hyperparameter Tuning

automl conformal-prediction hyperparameter-optimization hyperparameter-tuning inferential-statistics machine-learning predictive-modeling

Last synced: 11 May 2025

https://github.com/minyus/optkeras

OptKeras: wrapper around Keras and Optuna for hyperparameter optimization

deep deep-learning hyperparameter-optimization hyperparameters keras neural-network optuna

Last synced: 01 Oct 2025

https://github.com/cTJakt/glaucus

A general data-flow-based machine learning suit combining auto machine learning and multiple simplified machine learning algorithm for unprofessional data scenitists

automl deep-learning hyperparameter-optimization machine-learning react

Last synced: 07 May 2025

https://github.com/tohtsky/irspack

Train, evaluate, and optimize implicit feedback-based recommender systems.

eigen evaluation-framework hyperparameter-optimization knn-algorithm matrix-factorization optuna pybind11 recommender-systems

Last synced: 15 May 2026

https://github.com/oracle-samples/automlx

This repository contains demo notebooks (sample code) for the AutoMLx (automated machine learning and explainability) package from Oracle Labs.

ai automated-machine-learning automl automlx classification data-science explainability fairness fairness-ai hyperparameter-optimization interpretability machine-learning machine-learning-explainability mlx oracle python regression timeseries-forecasting tuning unsupervised-anomaly-detection

Last synced: 01 Jul 2025

https://github.com/aistairc/aiaccel

A hyperparameter optimization library for the ABCI.

abci hyperparameter-optimization nelder-mead-algorithm

Last synced: 01 Mar 2026

https://github.com/arthurpaulino/miraiml

MiraiML: asynchronous, autonomous and continuous Machine Learning in Python

data-science hyperparameter-optimization machine-learning python

Last synced: 19 Apr 2025

https://github.com/mlr-org/mlr3mbo

Flexible Bayesian Optimization in R

automl bayesian-optimization bbotk black-box-optimization cran gaussian-process hpo hyperparameter hyperparameter-optimization hyperparameter-tuning machine-learning mlr3 model-based-optimization optimization optimizer r r-package random-forest tuning

Last synced: 12 Oct 2025

https://github.com/bkj/pbt

Population Based Training, Figure 2

example hyperparameter-optimization population-based-training reproducible-research

Last synced: 15 Jun 2025

https://github.com/jmejia8/hypertuning.jl

HyperTuning: Automated hyperparameter tuning in Julia.

hyperparameter-optimization julia-language multiinstance

Last synced: 07 May 2025

https://github.com/drchainsaw/naivenasflux.jl

Your local Flux surgeon

architecture-search deep-learning flux hyperparameter-optimization machine-learning morphisms mutation neural-networks pruning transfer-learning

Last synced: 01 Jan 2026

https://github.com/amanpriyanshu/dp-hyperparamtuning

DP-HyperparamTuning offers an array of tools for fast and easy hypertuning of various hyperparameters for the DP-SGD algorithm.

automl hyperparameter-optimization machine-learning pytorch reinforcement-learning

Last synced: 19 Oct 2025

https://github.com/nzw0301/optuna-wandb

Example codes in the medium post titled "Optuna meets Weights and Biases."

hyperparameter-optimization optuna python pytoch wandb weights-and-biases

Last synced: 05 May 2025

https://github.com/yard1/hpbandster-sklearn

A scikit-learn wrapper for HpBandSter hyper parameter search.

automated-machine-learning automl bayesian-optimization hyperparameter-optimization hyperparameter-tuning machine-learning python scikit-learn sklearn

Last synced: 22 Apr 2025

https://github.com/szilard/gbm-tune

Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions

gbm gradient-boosting-machine hyperparameter-optimization machine-learning overfitting

Last synced: 06 Mar 2025

https://github.com/xaheli/predicting-indian-stocks-price-with-stacked-lstm

Predicting Indian stock prices using Stacked LSTM model. Analysing Reliance, Tata Steel, HDFC Bank, Infosys data. Data prep, EDA, hyperparameter tuning.

activation-functions hidden-layers hyperparameter-optimization hyperparameter-tuning indian-stock-market lstm lstm-neural-networks machine-learning optimisation stock-price-prediction

Last synced: 12 Jul 2025

https://github.com/autonomio/studio

GUI for Keras and TensorFlow with integrated hyperparameter optimization and NLP

ai artificial-intelligence data-science deep-learning hyperparameter-optimization hyperparameter-tuning keras tensorflow

Last synced: 07 Apr 2025

https://github.com/avacaondata/nlpboost

Python library for automatic training, optimization and comparison of Transformer models on most NLP tasks.

deep-learning hyperparameter-optimization hyperparameter-tuning natural-language-generation natural-language-processing natural-language-understanding nlp pytorch text-classification text-generation

Last synced: 26 Oct 2025

https://github.com/mlr-org/bbotk

Black-box optimization framework for R.

bbotk black-box-optimization data-science hyperparameter-optimization hyperparameter-tuning machine-learning mlr3 optimization r r-package

Last synced: 28 Feb 2026

https://github.com/simonblanke/optimization-tutorial

Tutorials for the optimization techniques used in Gradient-Free-Optimizers and Hyperactive.

gradient-free-optimization hyperactive hyperparameter-optimization machine-learning optimization tutorial visualization

Last synced: 05 May 2025

https://github.com/nesl/auritus

Auritus: An Open-Source Optimization Toolkit for Training and Development of Human Movement Models and Filters Using Earables

activity-recognition bayesian-optimization deep-learning deep-neural-networks earable end-to-end filters framework headpose headpose-estimation human-activity-recognition hyperparameter-optimization inertial-sensors machine-learning neural-architecture-search neural-network tensorflow-lite-micro tinyml ubiquitous-computing wearable-computing

Last synced: 23 Jan 2026

https://github.com/polyaxon/cli

Polyaxon Core Client & CLI to streamline MLOps

data-science dataops deep-learning hyperparameter-optimization kubernetes machine-learning ml mlops pytorch scikit-learn tensorflow workflows

Last synced: 25 Aug 2025

https://github.com/mindsetlib/insolver

Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.

auto-ml automated-machine-learning automl bayesian-optimization data-science elyra elyra-community feature-engineering hyperparameter-optimization insurance insurance-claims insurance-company insurance-scoring insurance-team low-code machine-learning

Last synced: 14 Dec 2025

https://github.com/sile/hone

A shell-friendly hyperparameter search tool inspired by Optuna

hyperparameter-optimization rust

Last synced: 11 Apr 2025

https://github.com/systats/textlearnR

A simple collection of well working NLP models (Keras, H2O, StarSpace) tuned and benchmarked on a variety of datasets.

classification hyperparameter-optimization keras nlp r text-mining

Last synced: 13 Jul 2025

https://github.com/snel-repo/autolfads-tf2

A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.

deep-learning dynamical-systems hyperparameter-optimization neuroscience

Last synced: 11 Mar 2026

https://github.com/MindSetLib/Insolver

Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.

auto-ml automated-machine-learning automl bayesian-optimization data-science elyra elyra-community feature-engineering hyperparameter-optimization insurance insurance-claims insurance-company insurance-scoring insurance-team low-code machine-learning

Last synced: 20 Jul 2025

https://github.com/sudipbishwakarma/msc-dissertation-2021

Stock Prediction using LSTM, Linear Regression, ARIMA and GARCH models. Hyperparameter Optimization using Optuna framework for LSTM variants.

arima exploratory-data-analysis garch googlecolab hyperparameter-optimization jupyter-notebook kaggle linearregression lstm nepse optuna scikit-learn stock-price-prediction tensorflow time-series-analysis

Last synced: 14 Oct 2025

https://github.com/drchainsaw/naivenaslib.jl

Relentless mutation!!

architecture-search deep-learning hyperparameter-optimization machine-learning morphisms mutation neural-networks transfer-learning

Last synced: 14 Mar 2025

https://github.com/hyeonsangjeon/hyperparameters-optimization

Hyperparameters-Optimization

bayesian-optimization bayessearchcv fmin grid-search gridsearchcv hpo hyperband hyperbandsearchcv hyperparameter hyperparameter-optimization hyperparameter-search hyperparameter-tuning optimization random-search randomsearchcv tpe tree-of-parzen-estimator tree-structured

Last synced: 22 Apr 2025

https://github.com/holgern/scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

binder hyperparameter-optimization hyperparameter-search hyperparameter-tuning maschine-learning optimization scientific-visualization scikit-learn sequential-recommendation visualization

Last synced: 24 Oct 2025

https://github.com/saattrupdan/naturalselection

A general-purpose pythonic genetic algorithm.

genetic-algorithm hyperparameter-optimization hyperparameter-tuning neural-network pythonic

Last synced: 11 Jul 2025

https://github.com/stephanakkerman/crypto-forecasting-benchmark

This repository contains the codebase used in the research conducted for the paper titled "Benchmarking Cryptocurrency Forecasting Models in the Context of Data Properties and Market Factors." The study involved a rigorous assessment of thirteen different time series forecasting models over twenty-one cryptocurrencies and four distinct time frames.

crypto cryptocurrencies cryptocurrency hyperoptimization hyperparameter-optimization machine-learning price-analysis price-prediction price-prediction-model time-series time-series-analysis time-series-forecasting volatility

Last synced: 10 Apr 2025

https://github.com/himkt/optuna-allennlp

🚀 A demonstration of hyperparameter optimization using Optuna for models implemented with AllenNLP.

allennlp hyperparameter-optimization natural-language-processing

Last synced: 03 Aug 2025

https://github.com/ahundt/sharpdarts

sharpDARTS: Faster and More Accurate Differentiable Architecture Search

architecture-search cifar10 computer-vision cosine-annealing cosine-power-annealing deep-learning differentiable-hyperparamter-search hyperparameter-optimization hyperparameter-search hyperparameter-tuning imagenet learning-rate learning-rate-scheduling nas neural-architecture-search neural-networks power-cosine-annealing pytorch sota state-of-the-art

Last synced: 12 Jul 2025

https://github.com/Lemniscate-world/Neural

Neural is a domain-specific language (DSL) designed for defining, training, debugging, and deploying neural networks. With declarative syntax, cross-framework support, and built-in execution tracing (NeuralDbg), it simplifies deep learning development.

automation data-science data-visualization diagrams dsl hyperparameter-optimization lark llms machine-learning neural-architecture-search neural-networks neural-networks-and-deep-learning neural-networks-from-scratch nocode onnx pytorch tensorflow visual-programming-language visualization