Topic: hyperparameter-optimization Goto Github

👇 Here are 850 public repositories matching this topic...

agilerl / agilerl
hyperparameter-optimization,Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
Organization: agilerl
Home Page: https://agilerl.com
reinforcement-learning deep-reinforcement-learning deep-learning rlops evolutionary-algorithms machine-learning pytorch gym hpo python

aimclub / fedot
hyperparameter-optimization,Automated modeling and machine learning framework FEDOT
Organization: aimclub
Home Page: https://fedot.readthedocs.io
automl machine-learning evolutionary-algorithms genetic-programming structural-learning automated-machine-learning hyperparameter-optimization parameter-tuning automation multimodality

amanchadha / coursera-deep-learning-specialization
hyperparameter-optimization,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
User: amanchadha
deep-learning coursera coursera-assignment coursera-specialization coursera-machine-learning andrew-ng andrew-ng-course convolutional-neural-networks cnns recurrent-neural-networks

araffin / rl-baselines-zoo
hyperparameter-optimization,A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
User: araffin
Home Page: https://stable-baselines.readthedocs.io/
rl zoo reinforcement-learning stable-baselines openai-gym openai gym pybullet hyperparameters optimization

autogluon / autogluon
hyperparameter-optimization,AutoGluon: Fast and Accurate ML in 3 Lines of Code
Organization: autogluon
Home Page: https://auto.gluon.ai/
automl machine-learning data-science deep-learning ensemble-learning computer-vision natural-language-processing structured-data object-detection gluon

automl / auto-sklearn
hyperparameter-optimization,Automated Machine Learning with scikit-learn
Organization: automl
Home Page: https://automl.github.io/auto-sklearn
automl scikit-learn automated-machine-learning hyperparameter-optimization hyperparameter-tuning hyperparameter-search bayesian-optimization metalearning meta-learning smac

automl / hpbandster
hyperparameter-optimization,a distributed Hyperband implementation on Steroids
Organization: automl
bayesian-optimization hyperparameter-optimization neural-architecture-search automated-machine-learning automl

automl / smac3
hyperparameter-optimization,SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Organization: automl
Home Page: https://automl.github.io/SMAC3/v2.0.2/
bayesian-optimization bayesian-optimisation hyperparameter-optimization hyperparameter-tuning hyperparameter-search configuration algorithm-configuration automl automated-machine-learning random-forest

autonomio / talos
hyperparameter-optimization,Hyperparameter Optimization for TensorFlow, Keras and PyTorch
Organization: autonomio
Home Page: https://autonom.io
deep-learning keras keras-tensorflow hyperparameter-optimization artificial-intelligence tensorflow

awslabs / syne-tune
hyperparameter-optimization,Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
Organization: awslabs
Home Page: https://syne-tune.readthedocs.io
hyperparameter-optimization machine-learning multi-objective-optimization hyperparameter-tuning bayesian-optimization sagemaker neural-architecture-search

bharathgs / awesome-distributed-deep-learning
hyperparameter-optimization,A curated list of awesome Distributed Deep Learning resources.
User: bharathgs
distributed-systems distributed-computing machine-learning deep-learning neural-networks nlp hyperparameter-optimization awesome awesome-list computer-vision

cerlymarco / shap-hypetune
hyperparameter-optimization,A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
User: cerlymarco
parameter-tuning hyperparameter-optimization feature-selection model-selection xgboost lightgbm shap

chrisstroemel / simple
hyperparameter-optimization,Experimental Global Optimization Algorithm
User: chrisstroemel
hyperparameter-optimization global-optimization optimization bayesian-optimization blackbox-optimization

climbsrocks / auto_ml
hyperparameter-optimization,[UNMAINTAINED] Automated machine learning for analytics & production
User: climbsrocks
Home Page: http://auto-ml.readthedocs.io
machine-learning data-science automated-machine-learning gradient-boosting scikit-learn python machine-learning-pipelines machine-learning-library production-ready automl

d2l-ai / d2l-en
hyperparameter-optimization,Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Organization: d2l-ai
Home Page: https://D2L.ai
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

determined-ai / determined
hyperparameter-optimization,Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Organization: determined-ai
Home Page: https://determined.ai
deep-learning machine-learning ml-platform ml-infrastructure hyperparameter-optimization hyperparameter-search distributed-training pytorch tensorflow hyperparameter-tuning

dlr-rm / rl-baselines3-zoo
hyperparameter-optimization,A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Organization: dlr-rm
Home Page: https://rl-baselines3-zoo.readthedocs.io
rl reinforcement-learning stable-baselines openai gym pybullet hyperparameter-optimization hyperparameter-tuning hyperparameter-search optimization

epistasislab / tpot
hyperparameter-optimization,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Organization: epistasislab
Home Page: http://epistasislab.github.io/tpot/
machine-learning python data-science automl automation scikit-learn hyperparameter-optimization model-selection parameter-tuning automated-machine-learning

facebookexperimental / robyn
hyperparameter-optimization,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.
Organization: facebookexperimental
Home Page: https://facebookexperimental.github.io/Robyn/
marketing-mix-modeling marketing-mix-modelling mmm marketing-science econometrics adstocking cost-response-curve budget-allocation hyperparameter-optimization evolutionary-algorithm

google / vizier
hyperparameter-optimization,Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Organization: google
Home Page: https://oss-vizier.readthedocs.io
vizier hyperparameter-optimization tuning tuning-parameters blackbox-optimization hyperparameter-tuning bayesian-optimization evolutionary-algorithms distributed-systems distributed-computing

guan-yuan / awesome-automl-and-lightweight-models
hyperparameter-optimization,A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
User: guan-yuan
automl meta-learning automated-feature-engineering hyperparameter-optimization architecture-search model-compression model-acceleration awesome-list neural-architecture-search nas

hdi-project / atm
hyperparameter-optimization,Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).
Organization: hdi-project
Home Page: https://hdi-project.github.io/ATM/
automl data-science distributed-computing hyperparameter-optimization machine-learning

hibayesian / awesome-automl-papers
hyperparameter-optimization,A curated list of automated machine learning papers, articles, tutorials, slides and projects
User: hibayesian
automl automated-feature-engineering hyperparameter-optimization neural-architecture-search

huntermcgushion / hyperparameter_hunter
hyperparameter-optimization,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
User: huntermcgushion
artificial-intelligence machine-learning hyperparameter-optimization hyperparameter-tuning neural-network keras scikit-learn xgboost lightgbm catboost

jmrichardson / tuneta
hyperparameter-optimization,Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
User: jmrichardson
technical-analysis hyperparameter-optimization machine-learning technical-indicators optuna finance optimize trading stocks stock-market

keras-team / keras-tuner
hyperparameter-optimization,A Hyperparameter Tuning Library for Keras
Organization: keras-team
Home Page: https://keras.io/keras_tuner/
automl deep-learning hyperparameter-optimization keras machine-learning tensorflow

leopard-ai / betty
hyperparameter-optimization,Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
Organization: leopard-ai
Home Page: https://leopard-ai.github.io/betty/
autodiff automatic-differentiation bilevel-optimization meta-learning multilevel-optimization hyperparameter-optimization neural-architecture-search reinforcement-learning artificial-intelligence machine-learning

lijqhs / deeplearning-notes
hyperparameter-optimization,Notes for Deep Learning Specialization Courses led by Andrew Ng.
User: lijqhs
Home Page: https://lijqhs.github.io/deeplearning-notes/
deep-learning data-science machine-learning algorithms coursera statistics neural-network cnn tensorflow deeplearning

liyanghart / hyperparameter-optimization-of-machine-learning-algorithms
hyperparameter-optimization,Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
User: liyanghart
hyperparameter-optimization machine-learning-algorithms hyperparameter-tuning machine-learning tuning-parameters grid-search random-search optimization hpo bayesian-optimization

maxpumperla / hyperas
hyperparameter-optimization,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
User: maxpumperla
Home Page: http://maxpumperla.com/hyperas/
hyperopt keras hyperparameter-optimization

microsoft / archai
hyperparameter-optimization,Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
Organization: microsoft
Home Page: https://microsoft.github.io/archai
python pytorch machine-learning deep-learning neural-architecture-search nas automated-machine-learning model-compression darts petridish

microsoft / flaml
hyperparameter-optimization,A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Organization: microsoft
Home Page: https://microsoft.github.io/FLAML/
automl hyperparam automated-machine-learning machine-learning data-science python jupyter-notebook hyperparameter-optimization random-forest scikit-learn

microsoft / nni
hyperparameter-optimization,An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Organization: microsoft
Home Page: https://nni.readthedocs.io
automl deep-learning neural-architecture-search hyperparameter-optimization distributed bayesian-optimization automated-machine-learning machine-learning machine-learning-algorithms data-science

mind-lab / octis
hyperparameter-optimization,OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
Organization: mind-lab
topic-modeling latent-dirichlet-allocation latent-semantic-analysis evaluation-metrics natural-language-processing non-negative-matrix-factorization neural-topic-models bayesian-optimization hyperparameter-optimization hyperparameter-tuning

mljar / mljar-supervised
hyperparameter-optimization,Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Organization: mljar
Home Page: https://mljar.com
automl machine-learning automatic-machine-learning mljar data-science scikit-learn hyperparameter-optimization feature-engineering xgboost random-forest

neuraxio / neuraxle
hyperparameter-optimization,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.
Organization: neuraxio
Home Page: https://www.neuraxle.org/
pipeline pipeline-framework machine-learning deep-learning framework python-library hyperparameter-optimization hyperparameter-tuning hyperparameter-search hyperparameters

optuna / optuna
hyperparameter-optimization,A hyperparameter optimization framework
Organization: optuna
Home Page: https://optuna.org
python machine-learning parallel distributed hyperparameter-optimization hacktoberfest

optuna / optuna-dashboard
hyperparameter-optimization,Real-time Web Dashboard for Optuna.
Organization: optuna
Home Page: https://optuna-dashboard.readthedocs.io/en/latest/
optuna hyperparameter-optimization dashboard

optuna / optuna-examples
hyperparameter-optimization,Examples for https://github.com/optuna/optuna
Organization: optuna
python machine-learning parallel distributed hyperparameter-optimization examples hacktoberfest

polyaxon / polyaxon
hyperparameter-optimization,MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
Organization: polyaxon
Home Page: https://polyaxon.com
deep-learning machine-learning artificial-intelligence data-science reinforcement-learning kubernetes tensorflow pytorch keras mxnet

ray-project / ray
hyperparameter-optimization,Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Organization: ray-project
Home Page: https://ray.io
ray distributed parallel machine-learning reinforcement-learning deep-learning python rllib hyperparameter-search optimization

reiinakano / xcessiv
hyperparameter-optimization,A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
User: reiinakano
Home Page: http://xcessiv.readthedocs.io
machine-learning ensemble-learning stacked-ensembles scikit-learn data-science hyperparameter-optimization automated-machine-learning

scikit-optimize / scikit-optimize
hyperparameter-optimization,Sequential model-based optimization with a `scipy.optimize` interface
Organization: scikit-optimize
Home Page: https://scikit-optimize.github.io
bayesopt optimization scientific-computing machine-learning hyperparameter bayesian-optimization binder scikit-learn hyperparameter-optimization hyperparameter-tuning

sherpa-ai / sherpa
hyperparameter-optimization,Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
User: sherpa-ai
Home Page: http://parameter-sherpa.readthedocs.io/
hyperparameter-optimization deep-learning bayesian-optimization keras hyperparameter-tuning hyperparameter-search hyperparameter-grid machine-learning machine-learning-library

simonblanke / gradient-free-optimizers
hyperparameter-optimization,Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
User: simonblanke
Home Page: https://simonblanke.github.io/gradient-free-optimizers-documentation
optimization gradient-free-optimization bayesian-optimization particle-swarm-optimization evolution-strategies simulated-annealing random-search hill-climbing meta-heuristic machine-learning

simonblanke / hyperactive
hyperparameter-optimization,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
User: simonblanke
Home Page: https://simonblanke.github.io/hyperactive-documentation
hyperparameter-optimization scikit-learn machine-learning python data-science parameter-tuning xgboost keras deep-learning bayesian-optimization

wandb / wandb
hyperparameter-optimization,🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
Organization: wandb
Home Page: https://wandb.ai
machine-learning experiment-track deep-learning keras tensorflow pytorch hyperparameter-search reinforcement-learning mlops data-science

williamfalcon / test-tube
hyperparameter-optimization,Python library to easily log experiments and parallelize hyperparameter search for neural networks
User: williamfalcon
deep-learning machine-learning tensorflow hyperparameter-optimization neural-networks data-science keras pytorch caffe2 caffe

yzkang / my-data-competition-experience
hyperparameter-optimization,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
User: yzkang
machine-learning kaggle-competition data-science tianchi-competition xgboost lightgbm catboost feature-engineering hyperparameter-optimization model-selection

zygmuntz / hyperband
hyperparameter-optimization,Tuning hyperparams fast with Hyperband
User: zygmuntz
Home Page: http://fastml.com/tuning-hyperparams-fast-with-hyperband/
hyperparameters hyperparameter-optimization hyperparameter-tuning gradient-boosting-classifier gradient-boosting machine-learning