hyperparameter-optimization

There are 70 repositories under hyperparameter-optimization topic.

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
Language:Python 38937
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 26843
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 14268
optuna / optuna
A hyperparameter optimization framework
distributed hyperparameter-optimization machine-learning parallel python
Language:Python 12665
wandb
wandb / wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
machine-learning experiment-track deep-learning keras tensorflow pytorch hyperparameter-search reinforcement-learning mlops data-science collaboration hyperparameter-optimization reproducibility hyperparameter-tuning data-versioning model-versioning ml-platform jax ai
Language:Python 10320
EpistasisLab / tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
machine-learning python data-science automl automation scikit-learn hyperparameter-optimization model-selection parameter-tuning automated-machine-learning random-forest gradient-boosting feature-engineering aiml alzheimer alzheimers nia u01ag066833 ag066833 adsp
Language:Jupyter Notebook 9980
autogluon
autogluon / autogluon
Fast and Accurate ML in 3 Lines of Code
automl machine-learning data-science deep-learning ensemble-learning computer-vision natural-language-processing structured-data object-detection gluon transfer-learning pytorch automated-machine-learning scikit-learn autogluon tabular-data hyperparameter-optimization time-series forecasting python
Language:Python 9387
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 7946
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 4207
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
4112
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 3966
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
3675
mljar-supervised
mljar / mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
automl machine-learning mljar data-science scikit-learn hyperparameter-optimization feature-engineering xgboost random-forest neural-network lightgbm catboost ensemble hyper-parameters decision-tree automated-machine-learning automl-api automl-python
Language:Python 3200
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 3187
keras-team / keras-tuner
A Hyperparameter Tuning Library for Keras
automl deep-learning hyperparameter-optimization keras machine-learning tensorflow
Language:Python 2901
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 2793
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 2544
maxpumperla / hyperas
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
hyperopt hyperparameter-optimization keras
Language:Python 2180
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 1653
autonomio / talos
Hyperparameter Experiments with TensorFlow and Keras
deep-learning keras keras-tensorflow hyperparameter-optimization artificial-intelligence tensorflow
Language:Python 1634
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 1599
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 random-forest python-examples python-samples deep-learning artificial-neural-networks machine-learning-optimization automl automated-machine-learning
Language:Jupyter Notebook 1309
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
Language:Jupyter Notebook 1270
xcessiv
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
Language:Python 1268
Gradient-Free-Optimizers
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
Language:Python 1223
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 1194
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 1182
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
853
AgileRL
AgileRL / AgileRL
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.
reinforcement-learning deep-reinforcement-learning deep-learning rlops evolutionary-algorithms machine-learning pytorch gym hpo python training mlops hyperparameter-optimization hyperparameter-tuning agilerl multi-agent multi-agent-reinforcement-learning pettingzoo automl distributed
Language:Python 820
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 783
optuna / optuna-examples
Examples for https://github.com/optuna/optuna
distributed examples hacktoberfest hyperparameter-optimization machine-learning parallel python
Language:Python 739
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 708
FEDOT
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
Language:Python 663
automl / HpBandSter
a distributed Hyperband implementation on Steroids
bayesian-optimization hyperparameter-optimization neural-architecture-search automated-machine-learning automl
Language:Python 616
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 612