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 ๐ฆ
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
๐ฏ๐ 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. ๐๐ป
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
โจMy 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 ๐ฆ
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 ๐ฆ
A drop-in replacement for Scikit-Learnโs 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. ๆฏHyperOptๆดๅผบ็ๅๅธๅผๅผๆญฅ่ถ ๅไผๅๅบใ
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 โsolutionsโ 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
