Projects in Awesome Lists tagged with hyperparameter-optimization
A curated list of projects in awesome lists tagged with hyperparameter-optimization .
https://github.com/ray-project/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
data-science deep-learning deployment distributed hyperparameter-optimization hyperparameter-search large-language-models llm llm-inference llm-serving machine-learning optimization parallel python pytorch ray reinforcement-learning rllib serving tensorflow
Last synced: 09 Sep 2025
https://github.com/d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
book computer-vision data-science deep-learning gaussian-processes hyperparameter-optimization jax kaggle keras machine-learning mxnet natural-language-processing notebook python pytorch recommender-system reinforcement-learning tensorflow
Last synced: 08 May 2025
https://github.com/microsoft/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
automated-machine-learning automl bayesian-optimization data-science deep-learning deep-neural-network distributed feature-engineering hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-algorithms mlops model-compression nas neural-architecture-search neural-network python pytorch tensorflow
Last synced: 05 Oct 2025
https://github.com/Microsoft/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
automated-machine-learning automl bayesian-optimization data-science deep-learning deep-neural-network distributed feature-engineering hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-algorithms mlops model-compression nas neural-architecture-search neural-network python pytorch tensorflow
Last synced: 18 Apr 2025
https://github.com/optuna/optuna
A hyperparameter optimization framework
distributed hacktoberfest hyperparameter-optimization machine-learning parallel python
Last synced: 12 May 2025
https://github.com/epistasislab/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
adsp ag066833 aiml alzheimer alzheimers automated-machine-learning automation automl data-science feature-engineering gradient-boosting hyperparameter-optimization machine-learning model-selection nia parameter-tuning python random-forest scikit-learn u01ag066833
Last synced: 12 May 2025
https://github.com/wandb/wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
ai collaboration data-science data-versioning deep-learning experiment-track hyperparameter-optimization hyperparameter-search hyperparameter-tuning jax keras machine-learning ml-platform mlops model-versioning pytorch reinforcement-learning reproducibility tensorflow
Last synced: 12 May 2025
https://github.com/EpistasisLab/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
adsp ag066833 aiml alzheimer alzheimers automated-machine-learning automation automl data-science feature-engineering gradient-boosting hyperparameter-optimization machine-learning model-selection nia parameter-tuning python random-forest scikit-learn u01ag066833
Last synced: 14 Mar 2025
https://epistasislab.github.io/tpot/
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
adsp ag066833 aiml alzheimer alzheimers automated-machine-learning automation automl data-science feature-engineering gradient-boosting hyperparameter-optimization machine-learning model-selection nia parameter-tuning python random-forest scikit-learn u01ag066833
Last synced: 05 May 2025
https://github.com/autogluon/autogluon
Fast and Accurate ML in 3 Lines of Code
autogluon automated-machine-learning automl computer-vision data-science deep-learning ensemble-learning forecasting gluon hyperparameter-optimization machine-learning natural-language-processing object-detection python pytorch scikit-learn structured-data tabular-data time-series transfer-learning
Last synced: 09 Sep 2025
https://github.com/awslabs/autogluon
Fast and Accurate ML in 3 Lines of Code
autogluon automated-machine-learning automl computer-vision data-science deep-learning ensemble-learning forecasting gluon hyperparameter-optimization machine-learning natural-language-processing object-detection python pytorch scikit-learn structured-data tabular-data time-series transfer-learning
Last synced: 05 Apr 2025
https://github.com/automl/auto-sklearn
Automated Machine Learning with scikit-learn
automated-machine-learning automl bayesian-optimization hyperparameter-optimization hyperparameter-search hyperparameter-tuning meta-learning metalearning scikit-learn smac
Last synced: 12 May 2025
https://automl.github.io/auto-sklearn/
Automated Machine Learning with scikit-learn
automated-machine-learning automl bayesian-optimization hyperparameter-optimization hyperparameter-search hyperparameter-tuning meta-learning metalearning scikit-learn smac
Last synced: 23 Feb 2025
https://github.com/microsoft/flaml
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
automated-machine-learning automl classification data-science deep-learning finetuning hyperparam hyperparameter-optimization jupyter-notebook machine-learning natural-language-generation natural-language-processing python random-forest regression scikit-learn tabular-data timeseries-forecasting tuning
Last synced: 13 May 2025
https://github.com/microsoft/FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
automated-machine-learning automl classification data-science deep-learning finetuning hyperparam hyperparameter-optimization jupyter-notebook machine-learning natural-language-generation natural-language-processing python random-forest regression scikit-learn tabular-data timeseries-forecasting tuning
Last synced: 15 Mar 2025
https://github.com/amanchadha/coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
andrew-ng andrew-ng-course cnns convolutional-neural-network convolutional-neural-networks coursera coursera-assignment coursera-machine-learning coursera-specialization deep-learning hyperparameter-optimization hyperparameter-tuning neural-machine-translation neural-network neural-networks neural-style-transfer recurrent-neural-network recurrent-neural-networks regularization rnns
Last synced: 13 May 2025
https://github.com/polyaxon/polyaxon
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
artificial-intelligence caffe data-science deep-learning hyperparameter-optimization jupyter jupyterlab k8s keras kubernetes machine-learning ml mlops mxnet notebook pipelines pytorch reinforcement-learning tensorflow workflow
Last synced: 08 May 2025
https://github.com/mljar/mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
automated-machine-learning automl automl-api automl-python catboost data-science decision-tree ensemble feature-engineering hyper-parameters hyperparameter-optimization lightgbm machine-learning mljar neural-network random-forest scikit-learn xgboost
Last synced: 12 May 2025
https://github.com/determined-ai/determined
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
data-science deep-learning distributed-training hyperparameter-optimization hyperparameter-search hyperparameter-tuning keras kubernetes machine-learning ml-infrastructure ml-platform mlops pytorch tensorflow
Last synced: 14 May 2025
https://keras-team.github.io/keras-tuner/
A Hyperparameter Tuning Library for Keras
automl deep-learning hyperparameter-optimization keras machine-learning tensorflow
Last synced: 16 Nov 2025
https://github.com/keras-team/keras-tuner
A Hyperparameter Tuning Library for Keras
automl deep-learning hyperparameter-optimization keras machine-learning tensorflow
Last synced: 15 May 2025
https://github.com/scikit-optimize/scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
bayesian-optimization bayesopt binder hacktoberfest hyperparameter hyperparameter-optimization hyperparameter-search hyperparameter-tuning machine-learning optimization scientific-computing scientific-visualization scikit-learn sequential-recommendation visualization
Last synced: 30 Sep 2025
https://github.com/dlr-rm/rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
deep-reinforcement-learning gym hyperparameter-optimization hyperparameter-search hyperparameter-tuning lab openai optimization pybullet pybullet-environments pytorch reinforcement-learning rl robotics sde stable-baselines tuning-hyperparameters
Last synced: 23 Apr 2025
https://github.com/maxpumperla/hyperas
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
hyperopt hyperparameter-optimization keras
Last synced: 14 May 2025
https://github.com/DLR-RM/rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
deep-reinforcement-learning gym hyperparameter-optimization hyperparameter-search hyperparameter-tuning lab openai optimization pybullet pybullet-environments pytorch reinforcement-learning rl robotics sde stable-baselines tuning-hyperparameters
Last synced: 01 May 2025
https://github.com/climbsrocks/auto_ml
[UNMAINTAINED] Automated machine learning for analytics & production
analytics artificial-intelligence automated-machine-learning automl data-science deep-learning deeplearning feature-engineering gradient-boosting hyperparameter-optimization keras lightgbm machine-learning machine-learning-library machine-learning-pipelines production-ready python scikit-learn tensorflow xgboost
Last synced: 14 May 2025
https://github.com/ClimbsRocks/auto_ml
[UNMAINTAINED] Automated machine learning for analytics & production
analytics artificial-intelligence automated-machine-learning automl data-science deep-learning deeplearning feature-engineering gradient-boosting hyperparameter-optimization keras lightgbm machine-learning machine-learning-library machine-learning-pipelines production-ready python scikit-learn tensorflow xgboost
Last synced: 07 Apr 2025
https://github.com/autonomio/talos
Hyperparameter Experiments with TensorFlow and Keras
artificial-intelligence deep-learning hyperparameter-optimization keras keras-tensorflow tensorflow
Last synced: 14 Dec 2025
https://github.com/google/vizier
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
algorithm bayesian-optimization blackbox-optimization deep-learning distributed-computing distributed-systems evolutionary-algorithms google grpc hyperparameter-optimization hyperparameter-tuning machine-learning open-source optimization tuning tuning-parameters vizier
Last synced: 13 May 2025
https://github.com/liyanghart/hyperparameter-optimization-of-machine-learning-algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
artificial-neural-networks automated-machine-learning automl bayesian-optimization deep-learning genetic-algorithm grid-search hpo hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-algorithms machine-learning-optimization optimization particle-swarm-optimization python-examples python-samples random-forest random-search tuning-parameters
Last synced: 16 May 2025
https://github.com/LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
artificial-neural-networks automated-machine-learning automl bayesian-optimization deep-learning genetic-algorithm grid-search hpo hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-algorithms machine-learning-optimization optimization particle-swarm-optimization python-examples python-samples random-forest random-search tuning-parameters
Last synced: 27 Apr 2025
https://github.com/facebookexperimental/robyn
Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
adstocking budget-allocation cost-response-curve econometrics evolutionary-algorithm gradient-based-optimisation hyperparameter-optimization marketing-mix-modeling marketing-mix-modelling marketing-science mmm ridge-regression
Last synced: 13 May 2025
https://github.com/reiinakano/xcessiv
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
automated-machine-learning data-science ensemble-learning hyperparameter-optimization machine-learning scikit-learn stacked-ensembles
Last synced: 15 May 2025
https://github.com/simonblanke/gradient-free-optimizers
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
bayesian-optimization blackbox-optimization constrained-optimization evolution-strategies gradient-free-optimization hill-climbing hyperactive hyperparameter-optimization machine-learning meta-heuristic nelder-mead optimization particle-swarm-optimization random-search simulated-annealing tree-of-parzen-estimator
Last synced: 14 May 2025
https://github.com/SimonBlanke/Gradient-Free-Optimizers
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
bayesian-optimization blackbox-optimization constrained-optimization evolution-strategies gradient-free-optimization hill-climbing hyperactive hyperparameter-optimization machine-learning meta-heuristic nelder-mead optimization particle-swarm-optimization random-search simulated-annealing tree-of-parzen-estimator
Last synced: 05 Apr 2025
https://github.com/araffin/rl-baselines-zoo
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
gym hyperparameter-optimization hyperparameter-search hyperparameter-tuning hyperparameters openai openai-gym optimization pybullet reinforcement-learning rl stable-baselines zoo
Last synced: 08 Apr 2025
https://github.com/facebookexperimental/Robyn
Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
adstocking budget-allocation cost-response-curve econometrics evolutionary-algorithm gradient-based-optimisation hyperparameter-optimization marketing-mix-modeling marketing-mix-modelling marketing-science mmm ridge-regression
Last synced: 27 Mar 2025
https://github.com/automl/SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
algorithm-configuration automated-machine-learning automl bayesian-optimisation bayesian-optimization configuration gaussian-process hyperparameter-optimization hyperparameter-search hyperparameter-tuning random-forest
Last synced: 05 Apr 2025
https://github.com/optuna/optuna-examples
Examples for https://github.com/optuna/optuna
distributed examples hacktoberfest hyperparameter-optimization machine-learning parallel python
Last synced: 22 Jun 2025
https://github.com/MIND-Lab/OCTIS
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
bayesian-optimization evaluation-metrics hyperparameter-optimization hyperparameter-search hyperparameter-tuning latent-dirichlet-allocation latent-semantic-analysis natural-language-processing neural-topic-models nlp nlp-library nlproc non-negative-matrix-factorization topic-modeling topic-models
Last synced: 03 May 2025
https://github.com/williamFalcon/test-tube
Python library to easily log experiments and parallelize hyperparameter search for neural networks
caffe caffe2 chainer data-science deep-learning grid-search hyperparameter-optimization keras machine-learning neural-networks pytorch random-search tensorflow
Last synced: 27 Mar 2025
https://github.com/williamfalcon/test-tube
Python library to easily log experiments and parallelize hyperparameter search for neural networks
caffe caffe2 chainer data-science deep-learning grid-search hyperparameter-optimization keras machine-learning neural-networks pytorch random-search tensorflow
Last synced: 04 Apr 2025
https://github.com/huntermcgushion/hyperparameter_hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
ai artificial-intelligence catboost data-science deep-learning experimentation feature-engineering hyperparameter-optimization hyperparameter-tuning keras lightgbm machine-learning ml neural-network optimization python rgf scikit-learn sklearn xgboost
Last synced: 16 May 2025
https://github.com/HunterMcGushion/hyperparameter_hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
ai artificial-intelligence catboost data-science deep-learning experimentation feature-engineering hyperparameter-optimization hyperparameter-tuning keras lightgbm machine-learning ml neural-network optimization python rgf scikit-learn sklearn xgboost
Last synced: 26 Apr 2025
https://github.com/aimclub/FEDOT
Automated modeling and machine learning framework FEDOT
automated-machine-learning automation automl evolutionary-algorithms fedot genetic-programming hyperparameter-optimization machine-learning multimodality parameter-tuning structural-learning
Last synced: 18 Apr 2025
https://automl.github.io/HpBandSter/
a distributed Hyperband implementation on Steroids
automated-machine-learning automl bayesian-optimization hyperparameter-optimization neural-architecture-search
Last synced: 18 Nov 2025
https://github.com/neuraxio/neuraxle
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
deep-learning framework hyperparameter-optimization hyperparameter-search hyperparameter-tuning hyperparameters machine-learning neuraxle parallel pipeline pipeline-framework python-library scikit-learn
Last synced: 07 Oct 2025
https://github.com/Neuraxio/Neuraxle
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
deep-learning framework hyperparameter-optimization hyperparameter-search hyperparameter-tuning hyperparameters machine-learning neuraxle parallel pipeline pipeline-framework python-library scikit-learn
Last synced: 05 Apr 2025
https://github.com/automl/HpBandSter
a distributed Hyperband implementation on Steroids
automated-machine-learning automl bayesian-optimization hyperparameter-optimization neural-architecture-search
Last synced: 18 Apr 2025
https://github.com/zygmuntz/hyperband
Tuning hyperparams fast with Hyperband
gradient-boosting gradient-boosting-classifier hyperparameter-optimization hyperparameter-tuning hyperparameters machine-learning
Last synced: 05 Apr 2025
https://github.com/optuna/optuna-dashboard
Real-time Web Dashboard for Optuna.
dashboard hyperparameter-optimization optuna
Last synced: 23 Apr 2025
https://hdi-project.github.io/ATM/
Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).
automl data-science distributed-computing hyperparameter-optimization machine-learning
Last synced: 12 May 2025
https://github.com/HDI-Project/ATM
Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).
automl data-science distributed-computing hyperparameter-optimization machine-learning
Last synced: 18 Jul 2025
https://github.com/simonblanke/hyperactive
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
automated-machine-learning bayesian-optimization data-science deep-learning feature-engineering hyperactive hyperparameter-optimization keras machine-learning model-selection neural-architecture-search optimization parallel-computing parameter-tuning python pytorch scikit-learn xgboost
Last synced: 14 May 2025
https://github.com/SimonBlanke/Hyperactive
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
automated-machine-learning bayesian-optimization data-science deep-learning feature-engineering hyperactive hyperparameter-optimization keras machine-learning model-selection neural-architecture-search optimization parallel-computing parameter-tuning python pytorch scikit-learn xgboost
Last synced: 05 Apr 2025
https://github.com/agilerl/agilerl
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
agilerl automl deep-learning deep-reinforcement-learning distributed evolutionary-algorithms gym hpo hyperparameter-optimization hyperparameter-tuning machine-learning mlops multi-agent multi-agent-reinforcement-learning pettingzoo python pytorch reinforcement-learning rlops training
Last synced: 16 May 2025
https://github.com/microsoft/archai
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
automated-machine-learning automl darts deep-learning hyperparameter-optimization machine-learning model-compression nas neural-architecture-search petridish python pytorch
Last synced: 16 May 2025
https://github.com/lijqhs/deeplearning-notes
Notes for Deep Learning Specialization Courses led by Andrew Ng.
algorithms andrew-ng backpropagation bias-variance cnn coursera data-analysis data-science deep-learning deeplearning hyperparameter-optimization machine-learning neural-network notes overfitting sequence-models statistics summary tensorflow
Last synced: 10 Apr 2025
https://github.com/cyberagentailab/cmaes
Python library for CMA Evolution Strategy.
black-box-optimization cma-es evolution-strategies evolution-strategy hyperparameter-optimization optuna
Last synced: 21 Sep 2025
https://github.com/Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
autonomous-vehicles bayesian-optimization catboost cicids2017 cyber-security decision-tree ensemble-learning hpo hyperparameter-optimization intrusion-detection intrusion-detection-system kmeans lightgbm machine-learning network-security python-examples random-forest stacking xgboost
Last synced: 21 Jul 2025
https://github.com/ARM-software/mango
Parallel Hyperparameter Tuning in Python
bayesian-optimization blackbox-optimization cluster-deployment gaussian-processes hyperparameter-optimization hyperparameter-tuning keras-examples kubernetes-deployment machine-learning neural-network neural-networks parallel-computing production-system pytorch-compatible scipy-compatible sklearn-compatible tensorflow-examples tuning-parameters
Last synced: 01 May 2025
https://github.com/arm-software/mango
Parallel Hyperparameter Tuning in Python
bayesian-optimization blackbox-optimization cluster-deployment gaussian-processes hyperparameter-optimization hyperparameter-tuning keras-examples kubernetes-deployment machine-learning neural-network neural-networks parallel-computing production-system pytorch-compatible scipy-compatible sklearn-compatible tensorflow-examples tuning-parameters
Last synced: 13 Apr 2025
https://github.com/jmrichardson/tuneta
Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
correlation finance hyperparameter-optimization machine-learning optimize optuna pareto-front stock-market stocks technical-analysis technical-indicators trading trading-systems tune
Last synced: 30 Mar 2025
https://github.com/syne-tune/syne-tune
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
bayesian-optimization hyperparameter-optimization hyperparameter-tuning machine-learning multi-objective-optimization neural-architecture-search sagemaker
Last synced: 05 Apr 2025
https://github.com/yzkang/My-Data-Competition-Experience
本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢
automl catboost data-science deep-learning feature-engineering feature-selection gan hyperparameter-optimization kaggle-competition lightgbm machine-learning model-fusion model-selection python sql tianchi-competition xgboost
Last synced: 27 Apr 2025
https://github.com/leopard-ai/betty
Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
artificial-intelligence autodiff automatic-differentiation bilevel-optimization deep-learning hyperparameter-optimization implicit-differentiation machine-learning meta-learning multilevel-optimization neural-architecture-search pytorch reinforcement-learning
Last synced: 23 Apr 2025
https://github.com/sherpa-ai/sherpa
Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
bayesian-optimization deep-learning hyperparameter-grid hyperparameter-optimization hyperparameter-search hyperparameter-tuning keras machine-learning machine-learning-library
Last synced: 04 Apr 2025
https://github.com/IBM/lale
Library for Semi-Automated Data Science
artificial-intelligence automated-machine-learning automl data-science dataquality hyperparameter-optimization hyperparameter-search hyperparameter-tuning ibm-research ibm-research-ai interoperability machine-learning pipeline-testing pipeline-tests python scikit-learn
Last synced: 09 May 2025
https://github.com/ibm/lale
Library for Semi-Automated Data Science
artificial-intelligence automated-machine-learning automl data-science dataquality hyperparameter-optimization hyperparameter-search hyperparameter-tuning ibm-research ibm-research-ai interoperability machine-learning pipeline-testing pipeline-tests python scikit-learn
Last synced: 14 May 2025
https://github.com/rodrigo-arenas/sklearn-genetic-opt
ML hyperparameters tuning and features selection, using evolutionary algorithms.
artificial-intelligence automl begginer-friendly contributions-welcome deap evolutionary-algorithms feature-selection featureselection good-first-issue goodfirstissue help-wanted hyperparameter-optimization hyperparameters looking-for-contributors machine-learning model-selection python scikit-learn sklearn up-for-grabs
Last synced: 15 May 2025
https://github.com/thuijskens/bayesian-optimization
Python code for bayesian optimization using Gaussian processes
gaussian-processes hyperparameter-optimization optimization
Last synced: 22 Jul 2025
https://github.com/Epistimio/orion
Asynchronous Distributed Hyperparameter Optimization.
auto-ml deep-learning deep-neural-networks hyperparameter-optimization machine-learning research
Last synced: 08 May 2025
https://github.com/deephyper/deephyper
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
automl deep-learning hpc hyperparameter-optimization keras machine-learning mpi multi-fidelity neural-architecture-search python pytorch raylib scalability tensorflow uncertainty-quantification
Last synced: 07 Apr 2025
https://github.com/DataCanvasIO/HyperTS
A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.
anomaly-detection autodl automl autots classification covariates forecasting hyperparameter-optimization iforest inceptiontime lstnet meta-features multivariate nbeats neural-architecture-search prophet regression tensorflow time-series
Last synced: 01 Apr 2025
https://github.com/datacanvasio/hyperts
A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.
anomaly-detection autodl automl autots classification covariates forecasting hyperparameter-optimization iforest inceptiontime lstnet meta-features multivariate nbeats neural-architecture-search prophet regression tensorflow time-series
Last synced: 09 Apr 2025
https://github.com/GPflow/GPflowOpt
Bayesian Optimization using GPflow
bayesian-optimization gpflow hyperparameter-optimization machine-learning
Last synced: 16 Nov 2025
https://github.com/datacanvasio/hypernets
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
autodl automl enas evolutionary-algorithms hyperparameter-optimization hyperparameter-tuning keras mcts monte-carlo-tree-search nas nasnet neural-architecture-search reinforcement-learning
Last synced: 04 Apr 2025
https://github.com/DataCanvasIO/Hypernets
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
autodl automl enas evolutionary-algorithms hyperparameter-optimization hyperparameter-tuning keras mcts monte-carlo-tree-search nas nasnet neural-architecture-search reinforcement-learning
Last synced: 18 Apr 2025
https://github.com/gpflow/gpflowopt
Bayesian Optimization using GPflow
bayesian-optimization gpflow hyperparameter-optimization machine-learning
Last synced: 05 Apr 2025
https://github.com/wujian16/Cornell-MOE
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
bayesian bayesian-optimization gaussian-processes hyperparameter-optimization machine-learning optimization
Last synced: 01 May 2025
https://github.com/WenjieZ/TSCV
Time Series Cross-Validation -- an extension for scikit-learn
backtesting cross-validation data-science hyperparameter-optimization machine-learning model-selection time-series tuning-parameters
Last synced: 04 Apr 2025
https://github.com/project-codeflare/codeflare
Simplifying the definition and execution, scaling and deployment of pipelines on the cloud.
automl data-science hyperparameter-optimization machine-learning pipelines ray sklearn workflows
Last synced: 11 Oct 2025
https://github.com/alex-lekov/automl_alex
State-of-the art Automated Machine Learning python library for Tabular Data
auto-ml automatic-machine-learning automl cross-validation data-science data-science-projects hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-library machine-learning-models ml model-selection optimisation python sklearn stacking stacking-ensemble xgboost
Last synced: 05 Apr 2025
https://github.com/Alex-Lekov/AutoML_Alex
State-of-the art Automated Machine Learning python library for Tabular Data
auto-ml automatic-machine-learning automl cross-validation data-science data-science-projects hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-library machine-learning-models ml model-selection optimisation python sklearn stacking stacking-ensemble xgboost
Last synced: 13 Jul 2025
https://github.com/scicloj/scicloj.ml
A Clojure machine learning library
classification clojure clustering data-pipeline data-science experiment-tracking hyperparameter-optimization machine-learning nlp regression scicloj
Last synced: 15 May 2025
https://github.com/baggepinnen/Hyperopt.jl
Hyperparameter optimization in Julia.
bayesian-optimization bohb global-optimization hyperband hyperparameter-optimization optimization parameter-tuning random-sampling
Last synced: 15 Mar 2025
https://lge-arc-advancedai.github.io/auptimizer/
An automatic ML model optimization tool.
automated-machine-learning automl data-engineering data-science deep-learning hpo hyperparameter-optimization hyperparameter-tuning machine-learning neural-networks
Last synced: 01 Apr 2025
https://github.com/baggepinnen/hyperopt.jl
Hyperparameter optimization in Julia.
bayesian-optimization bohb global-optimization hyperband hyperparameter-optimization optimization parameter-tuning random-sampling
Last synced: 15 Mar 2025
https://github.com/LGE-ARC-AdvancedAI/auptimizer
An automatic ML model optimization tool.
automated-machine-learning automl data-engineering data-science deep-learning hpo hyperparameter-optimization hyperparameter-tuning machine-learning neural-networks
Last synced: 08 May 2025
https://github.com/mlr-org/mlrmbo
Toolbox for Bayesian Optimization and Model-Based Optimization in R
bayesian-optimization black-box-optimization hyperparameter-optimization mlr mlrmbo model-based-optimization optimization r r-package
Last synced: 04 Apr 2025
https://github.com/lucfra/FAR-HO
Gradient based hyperparameter optimization & meta-learning package for TensorFlow
gradient-descent hyperparameter-optimization optimization tensorflow
Last synced: 10 May 2025
https://github.com/epistasislab/tpot2
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
adsp ag066833 aiml alzheimer alzheimers automated-machine-learning automation automl data-science feature-engineering gradient-boosting hyperparameter-optimization lm010098 machine-learning model-selection nia parameter-tuning python random-forest scikit-learn
Last synced: 09 Apr 2025
https://github.com/kruize/autotune
Autonomous Performance Tuning for Kubernetes!
autotune hyperparameter-optimization kubernetes performance performance-tuning sla tunables
Last synced: 27 Feb 2025
https://github.com/MLBazaar/BTB
A simple, extensible library for developing AutoML systems
automl gaussian-processes hyperparameter-optimization multi-armed-bandit
Last synced: 09 May 2025
https://github.com/TUM-DAML/seml
SEML: Slurm Experiment Management Library
experiment-manager experiment-tracking hyperparameter-optimization orchestration slurm slurm-workload-manager utility
Last synced: 08 May 2025
https://nvidia.github.io/Milano/
Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.
automl deep-learning deep-neural-networks hyperparameter-optimization hyperparameter-tuning machine-learning
Last synced: 18 Nov 2025
https://github.com/NVIDIA/Milano
Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.
automl deep-learning deep-neural-networks hyperparameter-optimization hyperparameter-tuning machine-learning
Last synced: 20 Nov 2025
https://github.com/automl/HPOBench
Collection of hyperparameter optimization benchmark problems
bayesian-optimization benchmark benchmarking containerized-benchmarks hyperparameter-optimization
Last synced: 05 Apr 2025
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
