hyperparameter-optimization

There are 63 repositories under hyperparameter-optimization topic.

ray-project / ray
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.
automl data-science deep-learning deployment distributed hyperparameter-optimization hyperparameter-search java llm-serving machine-learning model-selection optimization parallel python pytorch ray reinforcement-learning rllib serving tensorflow
Language:Python 31359
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.
deep-learning machine-learning book notebook computer-vision natural-language-processing python kaggle data-science mxnet pytorch tensorflow keras gaussian-processes hyperparameter-optimization recommender-system reinforcement-learning jax
Language:Python 21881
nni
microsoft / nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
automl deep-learning neural-architecture-search hyperparameter-optimization distributed bayesian-optimization automated-machine-learning machine-learning machine-learning-algorithms data-science tensorflow pytorch neural-network deep-neural-network model-compression feature-engineering nas python hyperparameter-tuning mlops
Language:Python 13786
optuna / optuna
A hyperparameter optimization framework
distributed hacktoberfest hyperparameter-optimization machine-learning parallel python
Language:Python 9736
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
Language:Python 9514
wandb
wandb / wandb
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
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
Language:Python 8297
automl / auto-sklearn
Automated Machine Learning with scikit-learn
automl scikit-learn automated-machine-learning hyperparameter-optimization hyperparameter-tuning hyperparameter-search bayesian-optimization metalearning meta-learning smac
Language:Python 7419
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
Language:Python 7185
hibayesian / awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
automated-feature-engineering automl hyperparameter-optimization neural-architecture-search
3921
microsoft / FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
automl hyperparam automated-machine-learning machine-learning data-science python jupyter-notebook hyperparameter-optimization random-forest scikit-learn deep-learning natural-language-processing natural-language-generation timeseries-forecasting classification regression tuning finetuning tabular-data
Language:Jupyter Notebook 3696
polyaxon / polyaxon
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
deep-learning machine-learning artificial-intelligence data-science reinforcement-learning kubernetes tensorflow pytorch keras mxnet caffe ml k8s jupyter notebook jupyterlab pipelines workflow mlops hyperparameter-optimization
3492
mljar-supervised
mljar / mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
automated-machine-learning automatic-machine-learning automl catboost data-science decision-tree ensemble feature-engineering hyper-parameters hyperparameter-optimization lightgbm machine-learning mljar models-tuning neural-network random-forest scikit-learn shap tuning-algorithm xgboost
Language:Python 2942
determined
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.
deep-learning machine-learning ml-platform ml-infrastructure hyperparameter-optimization hyperparameter-search distributed-training pytorch tensorflow hyperparameter-tuning kubernetes data-science mlops keras
Language:Go 2872
keras-team / keras-tuner
A Hyperparameter Tuning Library for Keras
automl deep-learning hyperparameter-optimization keras machine-learning tensorflow
Language:Python 2830
scikit-optimize / scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
bayesopt optimization scientific-computing machine-learning hyperparameter bayesian-optimization binder scikit-learn hyperparameter-optimization hyperparameter-tuning hyperparameter-search sequential-recommendation hacktoberfest scientific-visualization visualization
Language:Python 2726
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
deep-learning coursera coursera-assignment coursera-specialization coursera-machine-learning andrew-ng andrew-ng-course convolutional-neural-networks cnns recurrent-neural-networks rnns convolutional-neural-network recurrent-neural-network hyperparameter-optimization hyperparameter-tuning neural-network neural-networks neural-machine-translation neural-style-transfer regularization
Language:Jupyter Notebook 2714
maxpumperla / hyperas
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
hyperopt hyperparameter-optimization keras
Language:Python 2169
rl-baselines3-zoo
DLR-RM / rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
rl reinforcement-learning stable-baselines openai gym pybullet hyperparameter-optimization hyperparameter-tuning hyperparameter-search optimization sde robotics lab pybullet-environments tuning-hyperparameters deep-reinforcement-learning pytorch
Language:Python 1796
ClimbsRocks / auto_ml
[UNMAINTAINED] Automated machine learning for analytics & production
machine-learning data-science automated-machine-learning gradient-boosting scikit-learn python machine-learning-pipelines machine-learning-library production-ready automl lightgbm analytics feature-engineering hyperparameter-optimization deep-learning xgboost keras deeplearning tensorflow artificial-intelligence
Language:Python 1638
autonomio / talos
Hyperparameter Experiments with TensorFlow and Keras
artificial-intelligence deep-learning hyperparameter-optimization keras keras-tensorflow tensorflow
Language:Python 1618
xcessiv
reiinakano / xcessiv
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
machine-learning ensemble-learning stacked-ensembles scikit-learn data-science hyperparameter-optimization automated-machine-learning
Language:Python 1266
LiYangHart / Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
hyperparameter-optimization machine-learning-algorithms hyperparameter-tuning machine-learning tuning-parameters grid-search random-search optimization hpo bayesian-optimization genetic-algorithm particle-swarm-optimization hyperband random-forest knn svm python-examples python-samples deep-learning artificial-neural-networks
Language:Jupyter Notebook 1255
google / vizier
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
vizier hyperparameter-optimization tuning tuning-parameters blackbox-optimization hyperparameter-tuning bayesian-optimization evolutionary-algorithms distributed-systems distributed-computing grpc open-source google algorithm deep-learning machine-learning optimization
Language:Python 1174
Gradient-Free-Optimizers
SimonBlanke / Gradient-Free-Optimizers
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
optimization gradient-free-optimization bayesian-optimization particle-swarm-optimization evolution-strategies simulated-annealing random-search hill-climbing meta-heuristic machine-learning tree-of-parzen-estimator hyperparameter-optimization blackbox-optimization constrained-optimization nelder-mead hyperactive
Language:Python 1115
rl-baselines-zoo
araffin / rl-baselines-zoo
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
rl zoo reinforcement-learning stable-baselines openai-gym openai gym pybullet hyperparameters optimization hyperparameter-optimization hyperparameter-search hyperparameter-tuning
Language:Python 1113
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.
marketing-mix-modeling marketing-mix-modelling mmm marketing-science econometrics adstocking cost-response-curve budget-allocation hyperparameter-optimization evolutionary-algorithm ridge-regression gradient-based-optimisation
Language:Jupyter Notebook 1045
SMAC3
automl / SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
bayesian-optimization bayesian-optimisation hyperparameter-optimization hyperparameter-tuning hyperparameter-search configuration algorithm-configuration automl automated-machine-learning random-forest gaussian-process
Language:Python 1014
guan-yuan / awesome-AutoML-and-Lightweight-Models
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.
automl meta-learning automated-feature-engineering hyperparameter-optimization architecture-search model-compression model-acceleration awesome-list neural-architecture-search nas pytorch quantization quantized-neural-network quantized-training tensorflow
827
williamFalcon / test-tube
Python library to easily log experiments and parallelize hyperparameter search for neural networks
deep-learning machine-learning tensorflow hyperparameter-optimization neural-networks data-science keras pytorch caffe2 caffe chainer grid-search random-search
Language:JavaScript 735
hyperparameter_hunter
HunterMcGushion / hyperparameter_hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
artificial-intelligence machine-learning hyperparameter-optimization hyperparameter-tuning neural-network keras scikit-learn xgboost lightgbm catboost deep-learning data-science python rgf sklearn optimization experimentation feature-engineering ai ml
Language:Python 702
OCTIS
MIND-Lab / OCTIS
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
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 hyperparameter-search topic-models nlp nlproc nlp-library
Language:Python 688
FEDOT
aimclub / FEDOT
Automated modeling and machine learning framework FEDOT
automl machine-learning evolutionary-algorithms genetic-programming structural-learning automated-machine-learning hyperparameter-optimization parameter-tuning automation multimodality fedot
Language:Python 608
automl / HpBandSter
a distributed Hyperband implementation on Steroids
bayesian-optimization hyperparameter-optimization neural-architecture-search automated-machine-learning automl
Language:Python 604
optuna / optuna-examples
Examples for https://github.com/optuna/optuna
python machine-learning parallel distributed hyperparameter-optimization examples hacktoberfest
Language:Python 604
Neuraxle
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.
pipeline pipeline-framework machine-learning deep-learning framework python-library hyperparameter-optimization hyperparameter-tuning hyperparameter-search hyperparameters scikit-learn parallel neuraxle
Language:Python 597
zygmuntz / hyperband
Tuning hyperparams fast with Hyperband
hyperparameters hyperparameter-optimization hyperparameter-tuning gradient-boosting-classifier gradient-boosting machine-learning
Language:Python 588