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GitHub topics: bayesian-optimization

noblec04/MatlabGP

Flexible Gaussian Process model with user friendly kernel and mean function construction inspired by STHENO.

Language: MATLAB - Size: 13.2 MB - Last synced at: about 3 hours ago - Pushed at: about 4 hours ago - Stars: 5 - Forks: 0

google/vizier

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

Language: Python - Size: 4.73 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 1,577 - Forks: 102

experimental-design/bofire

Experimental design and (multi-objective) bayesian optimization.

Language: Jupyter Notebook - Size: 58.2 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 296 - Forks: 32

automl/auto-sklearn

Automated Machine Learning with scikit-learn

Language: Python - Size: 121 MB - Last synced at: 1 day ago - Pushed at: 17 days ago - Stars: 7,880 - Forks: 1,306

microsoft/nni ๐Ÿ“ฆ

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

Language: Python - Size: 127 MB - Last synced at: 1 day ago - Pushed at: about 1 year ago - Stars: 14,228 - Forks: 1,825

janosh/matbench-discovery

An evaluation framework for machine learning models simulating high-throughput materials discovery.

Language: Python - Size: 266 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 168 - Forks: 41

MIND-Lab/OCTIS

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

Language: Python - Size: 168 MB - Last synced at: 3 days ago - Pushed at: 12 months ago - Stars: 771 - Forks: 113

sambo-optimization/sambo

๐ŸŽฏ๐Ÿ“ˆ Sequential And Model-Based Optimization with SCE-UA, SMBO, and SHGO for fast convergence

Language: Python - Size: 144 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 20 - Forks: 0

jbirky/alabi

Active Learning Accelerated Bayesian Inference (ALABI)

Language: Python - Size: 47.3 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 5 - Forks: 0

soldasim/BOSS.jl

BOSS (Bayesian Optimization with Semiparametric Surrogate)

Language: Julia - Size: 3.39 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 5 - Forks: 1

syne-tune/syne-tune

Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

Language: Python - Size: 10.6 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 410 - Forks: 55

PKU-DAIR/open-box Fork of thomas-young-2013/open-box

Generalized and Efficient Blackbox Optimization System

Language: Python - Size: 17 MB - Last synced at: 3 days ago - Pushed at: 9 months ago - Stars: 414 - Forks: 55

SimonBlanke/Gradient-Free-Optimizers

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

Language: Python - Size: 38.3 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1,235 - Forks: 91

automl/HPOBench

Collection of hyperparameter optimization benchmark problems

Language: Python - Size: 741 KB - Last synced at: 5 days ago - Pushed at: about 2 months ago - Stars: 149 - Forks: 36

dawnfield-institute/dawn-field-theory

A post-symbolic physics framework modeling intelligence, collapse, and emergence through entropy flow.

Language: Python - Size: 130 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

MohammedSaim-Quadri/Intrusion_Detection-System

This project is an Intrusion Detection System (IDS) using machine learning (ML) and deep learning (DL) to detect network intrusions. It leverages the CICIDS2018 dataset to classify traffic as normal or malicious. Key features include data preprocessing, model training, hyperparameter tuning, and Docker containerization for scalable deployment.

Language: Python - Size: 8.61 MB - Last synced at: 4 days ago - Pushed at: 8 days ago - Stars: 3 - Forks: 0

automl/HpBandSter

a distributed Hyperband implementation on Steroids

Language: Python - Size: 7.17 MB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 618 - Forks: 107

emdgroup/baybe

Bayesian Optimization and Design of Experiments

Language: Python - Size: 71.3 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 371 - Forks: 56

Akarshjha03/Machine-Learning-Algorithms

Comprehensive collection of machine learning algorithms covering Supervised and Unsupervised Learning, Artificial Neural Networks, Genetic Algorithms, Bayesian Learning, Fuzzy Logic, and Optimization Techniques. Ideal for beginners and enthusiasts!

Language: Python - Size: 6.12 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 7 - Forks: 0

ziatdinovmax/gpax

Gaussian Processes for Experimental Sciences

Language: Python - Size: 53.3 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 225 - Forks: 29

aparna-kundu-dutta/Intrusion_detection_system_using_ML

Enhance cybersecurity with our Intrusion Detection System using ML. Detect attacks in real-time with a Flask app and Random Forest model. ๐Ÿ™๐Ÿ’ป

Language: HTML - Size: 6.02 MB - Last synced at: 9 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

SamoraHunter/ml_binary_classification_gridsearch_hyperOpt

Automated machine learning. Evaluate a battery of binary classification algorithms across feature and hyper-parameter spaces.

Language: Python - Size: 1.2 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

andreas122001/bayesian-hyperparameter-optimization

Demo project on using Bayesian Optimization to find the optimal learning rate for a small ResNet model on the FashionMNIST dataset.

Language: Jupyter Notebook - Size: 1.76 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

acerbilab/pybads

PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python

Language: Python - Size: 8.72 MB - Last synced at: 5 days ago - Pushed at: 6 months ago - Stars: 75 - Forks: 3

ISG-Siegen/lenskit-auto

An AutoRecSys Library built around LensKit. Performs automatic algorithm selection, hyperparameter optimzation and ensembling on LensKit models.

Language: Python - Size: 2.64 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 2 - Forks: 1

DanielIngham/Cooperative-Positioning-Filters

Repository containing the implementation of filters used for cooperative positioning.

Language: C++ - Size: 2.4 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

automl/SMAC3

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

Language: Python - Size: 155 MB - Last synced at: 5 days ago - Pushed at: 11 days ago - Stars: 1,181 - Forks: 237

desy-ml/cheetah-demos

Demos of Cheetah being used for various applications presented in "Cheetah: Bridging the Gap Between Machine Learning and Particle Accelerator Physics with High-Speed, Differentiable Simulations"

Language: Jupyter Notebook - Size: 149 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 6 - Forks: 1

Siddhesh19991/3D-volumetric-defect-detection-in-additive-manufacturing

Master thesis project in collaboration with Interspectral

Size: 6.67 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

bayesian-optimization/BayesianOptimization

A Python implementation of global optimization with gaussian processes.

Language: Python - Size: 51.2 MB - Last synced at: 11 days ago - Pushed at: 29 days ago - Stars: 8,300 - Forks: 1,574

MizuhoAOKI/gaussian_process

gaussian process examples

Language: Jupyter Notebook - Size: 4.77 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 24 - Forks: 2

sherrylixuecheng/EMQAOA-DARBO

This is the github repo to support the manuscript "Quantum approximate optimization via learning-based adaptive optimization"

Language: Jupyter Notebook - Size: 254 MB - Last synced at: 11 days ago - Pushed at: about 2 months ago - Stars: 13 - Forks: 2

Y-Srivaishnavi/simple_neural_architecture_search

Perform Neural Architecture Search to find the optimal ANN architecture for classification on two datasets: Splice and Human Activity Recognition

Language: Jupyter Notebook - Size: 1.42 MB - Last synced at: 13 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

XZT008/Standard-GP-is-all-you-need-for-HDBO

Bayesian optimization with Standard Gaussian Processes on high dimensional benchmarks

Language: Python - Size: 17.9 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 13 - Forks: 1

LC-Linkous/bayesian_optimization_python

Repository for Bayesian Optimization with a small surrogate model library in Python

Language: Python - Size: 208 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

Techtonique/GPopt

Bayesian optimization using Gaussian Process regression (Python)

Language: HTML - Size: 7.41 MB - Last synced at: 1 day ago - Pushed at: 15 days ago - Stars: 3 - Forks: 0

Yashmaini30/Breast-Cancer-Detection

Transfer learning-based breast cancer classification using ultrasound images. Includes ResNet-50, AlexNet, VGG16, and GoogLeNet with fine-tuning, feature extraction, and Bayesian optimization.

Language: Jupyter Notebook - Size: 9.3 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 1 - Forks: 0

Yashmaini30/Tomato_Leaf_Disease_Detection

Hyperparameter-tuned Xception model for plant disease detection with 97.23% accuracy โ€“ published at IEEE ICAIQSA 2024

Language: Jupyter Notebook - Size: 2.85 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 1 - Forks: 0

resibots/limbo

A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++11)

Language: C++ - Size: 85.6 MB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 253 - Forks: 58

PeeteKeesel/kaggle-verse

โœจMy kaggle notebooks

Language: Jupyter Notebook - Size: 74.2 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 3 - Forks: 0

SimonBlanke/Hyperactive

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

Language: Python - Size: 30.7 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 524 - Forks: 49

pabloprf/MITIM-fusion

MITIM (MIT Integrated Modeling) Suite for Fusion Applications

Language: Python - Size: 102 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 14 - Forks: 6

nickkunz/nestedhyperline

Nested Cross-Validation for Bayesian Optimized Linear Regularization

Language: Python - Size: 2.05 MB - Last synced at: about 23 hours ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0

TobyBoyne/bark

Jointly-trained tree kernels for Gaussian processes

Language: Python - Size: 84.1 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 3 - Forks: 1

issp-center-dev/PHYSBO

PHYSBO -- optimization tools for PHYsics based on Bayesian Optimization

Language: Python - Size: 17.8 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 76 - Forks: 19

justinjjlee/NHL-Analytics

Data science analyses delving into National Hockey League (NHL) ice hockey statistics

Language: Python - Size: 51.6 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 17 - Forks: 2

ARM-software/mango

Parallel Hyperparameter Tuning in Python

Language: Jupyter Notebook - Size: 54.6 MB - Last synced at: 20 days ago - Pushed at: 5 months ago - Stars: 418 - Forks: 48

mlr-org/mlr3mbo

Flexible Bayesian Optimization in R

Language: R - Size: 13.6 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 25 - Forks: 1

jbrea/BayesianOptimization.jl

Bayesian optimization for Julia

Language: Julia - Size: 175 KB - Last synced at: 6 days ago - Pushed at: 11 months ago - Stars: 97 - Forks: 15

CM2S/piglot

A package for the optimisation of numerical responses

Language: Python - Size: 2.87 MB - Last synced at: 5 days ago - Pushed at: 25 days ago - Stars: 19 - Forks: 4

Jonas-Verhellen/Bayesian-Illumination

Bayesian Illumination is an accelerated generative model for optimization of small molecules.

Language: Jupyter Notebook - Size: 127 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 17 - Forks: 1

tstran155/Optimization-of-building-energy-consumption

This repo demonstrates how to build a surrogate (proxy) model by multivariate regressing building energy consumption data (univariate and multivariate) and use (1) Bayesian framework, (2) Pyomo package, (3) Genetic algorithm with local search, and (4) Pymoo package to find optimum design parameters and minimum energy consumption.

Language: Jupyter Notebook - Size: 5.31 MB - Last synced at: 10 days ago - Pushed at: over 2 years ago - Stars: 28 - Forks: 6

scikit-optimize/scikit-optimize ๐Ÿ“ฆ

Sequential model-based optimization with a `scipy.optimize` interface

Language: Python - Size: 8.99 MB - Last synced at: 21 days ago - Pushed at: over 1 year ago - Stars: 2,775 - Forks: 553

oxfordcontrol/Bayesian-Optimization

Reference implementation of Optimistic Expected Improvement.

Language: Python - Size: 118 KB - Last synced at: 7 days ago - Pushed at: about 5 years ago - Stars: 49 - Forks: 10

rembertdesigns/F1-car-setup-optimizer

An interactive F1 engineering workbench built with Streamlit and Bayesian Optimization. Designed for racing fans, data scientists, and engineers to explore optimal car setups by balancing lap time, tire wear, and handling performance.

Language: Python - Size: 1.07 MB - Last synced at: 10 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0

optuna/bboc-optuna-developers

Black-box optimizer submitted to BBO challenge at NeurIPS 2020

Language: Jupyter Notebook - Size: 389 KB - Last synced at: 21 days ago - Pushed at: over 4 years ago - Stars: 14 - Forks: 1

sparks-baird/self-driving-lab-demo

Software and instructions for setting up and running a self-driving lab (autonomous experimentation) demo using dimmable RGB LEDs, an 8-channel spectrophotometer, a microcontroller, and an adaptive design algorithm, as well as extensions to liquid- and solid-based color matching demos.

Language: Jupyter Notebook - Size: 213 MB - Last synced at: 6 days ago - Pushed at: 14 days ago - Stars: 78 - Forks: 10

maxim5/hyper-engine

Python library for Bayesian hyper-parameters optimization

Language: Python - Size: 399 KB - Last synced at: 18 days ago - Pushed at: almost 7 years ago - Stars: 91 - Forks: 23

staifmatej/prg-precipitation-forecast-hmm

This repository contains the implementation of Hidden Markov Models for daily precipitation forecasting in Prague, using 25 years of meteorological data from Prague-Ruzynฤ› station.

Language: Jupyter Notebook - Size: 896 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

thomas-young-2013/mindware

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

Language: Python - Size: 63 MB - Last synced at: 17 days ago - Pushed at: over 3 years ago - Stars: 60 - Forks: 28

thieu1995/MetaSklearn

MetaSklearn: A Metaheuristic-Powered Hyperparameter Optimization Framework for Scikit-Learn Models.

Language: Python - Size: 137 KB - Last synced at: 18 days ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 0

Lando-L/boax

Boax is a Bayesian Optimization library for JAX.

Language: Python - Size: 11.3 MB - Last synced at: 20 days ago - Pushed at: 5 months ago - Stars: 6 - Forks: 1

ray-project/tune-sklearn ๐Ÿ“ฆ

A drop-in replacement for Scikit-Learnโ€™s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.

Language: Python - Size: 13.8 MB - Last synced at: 22 days ago - Pushed at: over 1 year ago - Stars: 467 - Forks: 51

lamda-bbo/BBOPlace-Bench

Official implementation of paper "BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement".

Language: Python - Size: 60.5 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 7 - Forks: 3

automl/SVGe

Smooth Variational Graph Embeddings for Efficient Neural Architecture Search

Language: Python - Size: 10.9 MB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 16 - Forks: 1

sherpa-ai/sherpa

Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

Language: JavaScript - Size: 5.57 MB - Last synced at: 16 days ago - Pushed at: over 4 years ago - Stars: 339 - Forks: 54

auto-flow/ultraopt

Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. ๆฏ”HyperOptๆ›ดๅผบ็š„ๅˆ†ๅธƒๅผๅผ‚ๆญฅ่ถ…ๅ‚ไผ˜ๅŒ–ๅบ“ใ€‚

Language: Python - Size: 10.3 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 108 - Forks: 15

sparks-baird/mat_discover

A materials discovery algorithm geared towards exploring high-performance candidates in new chemical spaces.

Language: Python - Size: 88.7 MB - Last synced at: 26 days ago - Pushed at: 11 months ago - Stars: 44 - Forks: 9

sustainable-processes/summit

Optimising chemical reactions using machine learning

Language: Jupyter Notebook - Size: 47.4 MB - Last synced at: 29 days ago - Pushed at: 10 months ago - Stars: 129 - Forks: 29

rentruewang/bocoel

Bayesian Optimization as a Coverage Tool for Evaluating LLMs. Accurate evaluation (benchmarking) that's 10 times faster with just a few lines of modular code.

Language: Python - Size: 6.82 MB - Last synced at: 22 days ago - Pushed at: about 1 month ago - Stars: 285 - Forks: 16

dnzckn/BasicBO

Bayesian Optimization Demo on ax_platform==0.4.3

Language: Jupyter Notebook - Size: 10.2 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

uber/bayesmark

Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks

Language: Python - Size: 209 KB - Last synced at: 21 days ago - Pushed at: about 4 years ago - Stars: 148 - Forks: 33

biocentral/biocentral

Biomedical data, from lab to paper.

Language: Dart - Size: 15.1 MB - Last synced at: 2 days ago - Pushed at: 3 days ago - Stars: 12 - Forks: 2

google-research/hyperbo

Pre-trained Gaussian processes for Bayesian optimization

Language: Python - Size: 194 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 91 - Forks: 8

baggepinnen/Hyperopt.jl

Hyperparameter optimization in Julia.

Language: Julia - Size: 213 KB - Last synced at: 24 days ago - Pushed at: over 1 year ago - Stars: 200 - Forks: 19

AdityaSavara/PEUQSE

Parameter estimation for complex physical problems often suffers from finding โ€˜solutionsโ€™ that are not physically realistic. The PEUQSE software provides tools for finding physically realistic parameter estimates, graphs of the parameter estimate positions within parameter space, and plots of the final simulation results.

Language: Python - Size: 720 MB - Last synced at: 21 days ago - Pushed at: about 2 months ago - Stars: 14 - Forks: 5

natgluons/AI-Fusion360-Godot-Design

Generative 3D design for gaming using Fusion 360 scripting, simulated in Godot with Bayesian optimization for AI design tuning (scikit-optimize)

Language: Python - Size: 111 MB - Last synced at: 23 days ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

ytopt-team/ytopt

ytopt: machine-learning-based autotuning and hyperparameter optimization framework using Bayesian Optimization

Language: C - Size: 25.7 MB - Last synced at: 23 days ago - Pushed at: about 2 months ago - Stars: 48 - Forks: 18

michailmitsakis/code_mqs

Multi-objective Bayesian optimization for physical experiments with Ax.

Language: Jupyter Notebook - Size: 16.7 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

modAL-python/modAL

A modular active learning framework for Python

Language: Python - Size: 9.13 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 2,286 - Forks: 325

kavya4411/tune

Flutter Piano is a simple and educational music application that allows users to play black and white piano keys that produce realistic sounds upon tapping. It is built with Flutter and designed with a clean, intuitive interface that offers an authentic piano playing experience.

Language: C++ - Size: 2.82 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 1

aaron-di/CDM-PSL

[AAAI 2025] CDM-PSL: Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models

Language: Python - Size: 972 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 1

FoamScience/OpenFOAM-Multi-Objective-Optimization

A tiny project to use ax-platform for multi-objective Bayesian Optimization on OpenFOAM cases

Language: Python - Size: 740 KB - Last synced at: 27 days ago - Pushed at: 12 months ago - Stars: 20 - Forks: 5

Plant-Food-Research-Open/calisim

A toolbox for the calibration and evaluation of simulation models.

Language: Python - Size: 6.87 MB - Last synced at: 25 days ago - Pushed at: about 1 month ago - Stars: 14 - Forks: 2

DAVIDDAIJUNCHEN/Shape-Transfer-Bayesian-Optimization

This project aims to implement Shape Transfer Bayesian Optimization, and compare it with other existing transfer Bayesian Optimization Methods.

Language: Python - Size: 90 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

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

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Language: Jupyter Notebook - Size: 235 KB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 1,293 - Forks: 304

Lambard-ML-Team/MADGUI

User-friendly Graphical User Interface (GUI) developed at the National Institute for Materials Science (NIMS) for performing statistical data analysis, machine learning (ML) modelisation, and composition/process optimisation through active learning assisted by Bayesian optimisation

Language: Python - Size: 22.4 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 14 - Forks: 3

krasserm/bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

Language: Jupyter Notebook - Size: 27.2 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 1,864 - Forks: 472

paul92150/photonic-reservoir

Photonic-inspired reservoir computing for signal classification

Language: Python - Size: 4.39 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

lukassteinwender/avatair

A pipeline to generate user-preferred photo-realistic avatars using stable-diffusion and bayesian-optimization.

Language: Python - Size: 97.7 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 18 - Forks: 2

Data-Science-in-Mechanical-Engineering/hci-gibo

Code to reproduce the results from the paper "Simulation-Aided Policy Tuning for Black-Box Robot Learning".

Language: Python - Size: 88.9 KB - Last synced at: 13 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

blindedjoy/RcTorch

a PyTorch based Reservoir Computing package with Automatic Hyper-Parameter Tuning

Language: Jupyter Notebook - Size: 369 MB - Last synced at: 15 days ago - Pushed at: over 2 years ago - Stars: 43 - Forks: 12

basf/mopti

Lightweight tools for experimental design and multi-objective optimization.

Language: Python - Size: 2.85 MB - Last synced at: 29 days ago - Pushed at: 2 months ago - Stars: 30 - Forks: 3

c-bata/goptuna

A hyperparameter optimization framework, inspired by Optuna.

Language: Go - Size: 15.4 MB - Last synced at: about 2 months ago - Pushed at: 11 months ago - Stars: 267 - Forks: 23

dme65/pySOT

Surrogate Optimization Toolbox for Python

Language: Jupyter Notebook - Size: 8.28 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 210 - Forks: 53

LamNgo1/boids

[AAAI' 25] BOIDS: High-dimensional Bayesian Optimization via Incumbent-guided Direction Lines and Subspace Embeddings

Language: Python - Size: 312 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 4 - Forks: 0

ma921/SOBER

Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration

Language: Jupyter Notebook - Size: 33.4 MB - Last synced at: 19 days ago - Pushed at: 2 months ago - Stars: 26 - Forks: 1

Eva-Kaushik/GauOptX-Code-Sample

GauOptX is a high-performance Bayesian optimization tool designed for complex, mixed-variable problems. It features adaptive kernel switching, batch optimization, and GPU scalability, making it ideal for applications like hyperparameter tuning and experimental design.

Language: Jupyter Notebook - Size: 1.47 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

wiseodd/lapeft-bayesopt

Discrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.

Language: Python - Size: 4.85 MB - Last synced at: 11 days ago - Pushed at: 12 months ago - Stars: 19 - Forks: 2

samsinai/FLEXS

Fitness landscape exploration sandbox for biological sequence design.

Language: Jupyter Notebook - Size: 174 MB - Last synced at: 19 days ago - Pushed at: over 2 years ago - Stars: 163 - Forks: 22

Related Keywords
bayesian-optimization 617 machine-learning 170 python 95 gaussian-processes 93 hyperparameter-optimization 80 optimization 71 deep-learning 54 hyperparameter-tuning 54 bayesian-inference 36 random-forest 29 black-box-optimization 25 xgboost 25 automl 24 pytorch 23 data-science 22 scikit-learn 21 neural-network 20 keras 19 active-learning 19 neural-architecture-search 19 bayesian-methods 18 reinforcement-learning 18 lightgbm 17 matlab 17 blackbox-optimization 16 multi-objective-optimization 16 bayesian-statistics 15 optimization-algorithms 14 tensorflow 14 classification 14 feature-engineering 14 bayesian 14 neural-networks 14 multiobjective-optimization 13 global-optimization 12 random-search 12 machine-learning-algorithms 12 automated-machine-learning 12 optuna 11 surrogate-based-optimization 11 catboost 10 hyperopt 10 evolutionary-algorithms 10 gridsearchcv 10 sklearn 10 deep-neural-networks 10 time-series 10 convolutional-neural-networks 9 jupyter-notebook 9 surrogate-models 9 model-selection 9 feature-selection 9 regression 9 constrained-optimization 9 uncertainty-quantification 9 mcmc 8 genetic-algorithm 8 gaussian-process-regression 8 r 8 acquisition-functions 8 cross-validation 7 thompson-sampling 7 recommender-system 7 pandas 7 botorch 7 python3 7 hyperparameter-search 7 bayesian-neural-networks 7 meta-learning 7 benchmark 6 particle-swarm-optimization 6 optimisation 6 lstm 6 expensive-to-evaluate-functions 6 hpo 6 svm 6 flask 6 gradient-boosting 6 visualization 6 parallel-computing 6 logistic-regression 6 parameter-tuning 6 linear-regression 6 experimental-design 6 gradient-descent 6 parameter-estimation 6 natural-language-processing 6 materials-informatics 5 variational-autoencoder 5 design-of-experiments 5 competition 5 eda 5 robotics 5 sensitivity-analysis 5 data-visualization 5 clustering 5 cnn 5 transfer-learning 5 materials-science 5 kriging 5