bayesian-optimization · GitHub Topics

#计算机科学#An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

automl 深度学习 neural-architecture-search hyperparameter-optimization distributed bayesian-optimization automated-machine-learning 机器学习数据科学 Tensorflow PyTorch 神经网络深度神经网络 model-compression feature-engineering nas Python hyperparameter-tuning mlops

Python 14.21 k

1 年前

bayesian-optimization / BayesianOptimization

A Python implementation of global optimization with gaussian processes.

optimization gaussian-processes bayesian-optimization Python simple

Python 8.27 k

6 天前

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

Python 7.86 k

5 个月前

scikit-optimize / scikit-optimize

#计算机科学#Sequential model-based optimization with a `scipy.optimize` interface

bayesopt optimization scientific-computing 机器学习 hyperparameter bayesian-optimization binder scikit-learn hyperparameter-optimization hyperparameter-tuning hyperparameter-search sequential-recommendation Hacktoberfest scientific-visualization 可视化

Python 2.77 k

1 年前

modAL-python / modAL

#计算机科学#A modular active learning framework for Python

scikit-learn 机器学习 Python active-learning machine-learning-api bayesian-optimization

Python 2.29 k

1 年前

krasserm / bayesian-machine-learning

#计算机科学#Notebooks about Bayesian methods for machine learning

机器学习 bayesian-methods gaussian-processes bayesian-optimization variational-autoencoder

Jupyter Notebook 1.87 k

1 年前

google / vizier

#算法刷题#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 算法深度学习机器学习 optimization

Python 1.57 k

1 个月前

LiYangHart / Hyperparameter-Optimization-of-Machine-Learning-Algorithms

#计算机科学#Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

hyperparameter-optimization 机器学习 hyperparameter-tuning tuning-parameters random-search optimization bayesian-optimization genetic-algorithm particle-swarm-optimization random-forest 深度学习 artificial-neural-networks automl automated-machine-learning

Jupyter Notebook 1.29 k

3 年前

SimonBlanke / Gradient-Free-Optimizers

#计算机科学#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 机器学习 hyperparameter-optimization blackbox-optimization constrained-optimization

Python 1.23 k

13 天前

automl / SMAC3

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

bayesian-optimization hyperparameter-optimization hyperparameter-tuning hyperparameter-search configuration automl automated-machine-learning random-forest

Python 1.18 k

3 天前

MIND-Lab / OCTIS

#自然语言处理#OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

topic-modeling evaluation-metrics 自然语言处理 bayesian-optimization hyperparameter-optimization hyperparameter-tuning hyperparameter-search topic-models nlproc nlp-library

Python 771

1 年前

EmuKit / emukit

#计算机科学#A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc...

机器学习 bayesian-optimization uncertainty-quantification decision-making emulation Python

Python 632

4 个月前

automl / HpBandSter

a distributed Hyperband implementation on Steroids

bayesian-optimization hyperparameter-optimization neural-architecture-search automated-machine-learning automl

Python 616

3 年前

SimonBlanke / Hyperactive

#计算机科学#An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

hyperparameter-optimization scikit-learn 机器学习 Python 数据科学 parameter-tuning xgboost Keras 深度学习 bayesian-optimization parallel-computing neural-architecture-search automated-machine-learning optimization PyTorch feature-engineering model-selection

Python 523

6 天前

Western-OC2-Lab / Intrusion-Detection-System-Using-Machine-Learning

#计算机科学#Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)