An open API service providing repository metadata for many open source software ecosystems.

Topic: "bayesian-optimization"

microsoft/nni 📦

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: 5 days ago - Pushed at: 11 months ago - Stars: 14,199 - Forks: 1,817

bayesian-optimization/BayesianOptimization

A Python implementation of global optimization with gaussian processes.

Language: Python - Size: 49.2 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 8,261 - Forks: 1,569

automl/auto-sklearn

Automated Machine Learning with scikit-learn

Language: Python - Size: 121 MB - Last synced at: 7 days ago - Pushed at: 5 months ago - Stars: 7,851 - Forks: 1,303

scikit-optimize/scikit-optimize 📦

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

Language: Python - Size: 8.99 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 2,766 - Forks: 552

modAL-python/modAL

A modular active learning framework for Python

Language: Python - Size: 9.13 MB - Last synced at: 12 days ago - Pushed at: over 1 year ago - Stars: 2,286 - Forks: 325

krasserm/bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

Language: Jupyter Notebook - Size: 27.2 MB - Last synced at: 18 days ago - Pushed at: over 1 year ago - Stars: 1,864 - Forks: 472

google/vizier

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

Language: Python - Size: 4.69 MB - Last synced at: 20 days ago - Pushed at: about 1 month ago - Stars: 1,560 - Forks: 100

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: 18 days ago - Pushed at: over 2 years ago - Stars: 1,293 - Forks: 304

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: 20 days ago - Pushed at: 29 days ago - Stars: 1,231 - Forks: 90

automl/SMAC3

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

Language: Python - Size: 155 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1,167 - Forks: 235

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: about 8 hours ago - Pushed at: 11 months ago - Stars: 770 - Forks: 113

automl/HpBandSter

a distributed Hyperband implementation on Steroids

Language: Python - Size: 7.17 MB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 616 - Forks: 107

EmuKit/emukit

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

Language: Python - Size: 15.6 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 565 - Forks: 127

SimonBlanke/Hyperactive

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

Language: Python - Size: 30.6 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 522 - Forks: 49

chrisstroemel/Simple

Experimental Global Optimization Algorithm

Language: Python - Size: 11 MB - Last synced at: about 1 month ago - Pushed at: over 7 years ago - Stars: 482 - Forks: 39

ray-project/tune-sklearn 📦

A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.

Language: Python - Size: 13.8 MB - Last synced at: 21 days ago - Pushed at: over 1 year ago - Stars: 468 - Forks: 51

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

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

Language: Jupyter Notebook - Size: 17.7 MB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 423 - Forks: 111

ARM-software/mango

Parallel Hyperparameter Tuning in Python

Language: Jupyter Notebook - Size: 54.6 MB - Last synced at: 12 days ago - Pushed at: 4 months ago - Stars: 416 - Forks: 48

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: 8 months ago - Stars: 407 - Forks: 55

syne-tune/syne-tune

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

Language: Python - Size: 10.6 MB - Last synced at: 7 days ago - Pushed at: 8 days ago - Stars: 406 - Forks: 53

emdgroup/baybe

Bayesian Optimization and Design of Experiments

Language: Python - Size: 65.6 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 363 - Forks: 57

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: 337 - Forks: 54

experimental-design/bofire

Experimental design and (multi-objective) bayesian optimization.

Language: Jupyter Notebook - Size: 57.1 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 288 - Forks: 32

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: 7.2 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 284 - Forks: 16

GPflow/GPflowOpt

Bayesian Optimization using GPflow

Language: Python - Size: 3.35 MB - Last synced at: 15 days ago - Pushed at: over 4 years ago - Stars: 272 - Forks: 60

wujian16/Cornell-MOE

A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.

Language: C++ - Size: 15.6 MB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 269 - Forks: 63

c-bata/goptuna

A hyperparameter optimization framework, inspired by Optuna.

Language: Go - Size: 15.4 MB - Last synced at: 16 days ago - Pushed at: 9 months ago - Stars: 267 - Forks: 23

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: 251 - Forks: 57

acerbilab/bads

Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB

Language: MATLAB - Size: 4.42 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 251 - Forks: 39

ziatdinovmax/gpax

Gaussian Processes for Experimental Sciences

Language: Python - Size: 53.3 MB - Last synced at: 9 days ago - Pushed at: 8 months ago - Stars: 222 - Forks: 29

akash13singh/lstm_anomaly_thesis

Anomaly detection for temporal data using LSTMs

Language: Jupyter Notebook - Size: 86.5 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 220 - Forks: 89

dme65/pySOT

Surrogate Optimization Toolbox for Python

Language: Jupyter Notebook - Size: 8.28 MB - Last synced at: 16 days ago - Pushed at: over 3 years ago - Stars: 210 - Forks: 53

baggepinnen/Hyperopt.jl

Hyperparameter optimization in Julia.

Language: Julia - Size: 213 KB - Last synced at: 22 days ago - Pushed at: over 1 year ago - Stars: 199 - Forks: 19

mlr-org/mlrMBO

Toolbox for Bayesian Optimization and Model-Based Optimization in R

Language: R - Size: 77.5 MB - Last synced at: 17 days ago - Pushed at: over 1 year ago - Stars: 188 - Forks: 47

gpstuff-dev/gpstuff

GPstuff - Gaussian process models for Bayesian analysis

Language: MATLAB - Size: 67.2 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 174 - Forks: 61

samsinai/FLEXS

Fitness landscape exploration sandbox for biological sequence design.

Language: Jupyter Notebook - Size: 174 MB - Last synced at: 18 days ago - Pushed at: over 2 years ago - Stars: 163 - Forks: 22

janosh/matbench-discovery

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

Language: Python - Size: 267 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 157 - Forks: 38

automl/HPOBench

Collection of hyperparameter optimization benchmark problems

Language: Python - Size: 741 KB - Last synced at: 3 days ago - Pushed at: 19 days ago - Stars: 147 - Forks: 36

uber/bayesmark

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

Language: Python - Size: 209 KB - Last synced at: 15 days ago - Pushed at: almost 4 years ago - Stars: 146 - Forks: 33

gdikov/hypertunity

A toolset for black-box hyperparameter optimisation.

Language: Python - Size: 1.39 MB - Last synced at: about 16 hours ago - Pushed at: over 5 years ago - Stars: 136 - Forks: 10

sustainable-processes/summit

Optimising chemical reactions using machine learning

Language: Jupyter Notebook - Size: 47.4 MB - Last synced at: 29 days ago - Pushed at: 9 months ago - Stars: 128 - Forks: 29

kirthevasank/nasbot

Neural Architecture Search with Bayesian Optimisation and Optimal Transport

Language: Python - Size: 294 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 128 - Forks: 26

AIworx-Labs/chocolate

A fully decentralized hyperparameter optimization framework

Language: Python - Size: 2.33 MB - Last synced at: 21 days ago - Pushed at: 11 months ago - Stars: 123 - Forks: 41

yunshengtian/AutoOED

AutoOED: Automated Optimal Experimental Design Platform

Language: Python - Size: 28.5 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 123 - Forks: 16

aamini/chemprop

Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.

Language: Python - Size: 279 MB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 121 - Forks: 15

JuliaNonconvex/Nonconvex.jl

Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.

Language: Julia - Size: 2.31 MB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 116 - Forks: 10

probprog/bopp

BOPP: Bayesian Optimization for Probabilistic Programs

Language: Clojure - Size: 412 KB - Last synced at: 18 days ago - Pushed at: over 7 years ago - Stars: 114 - Forks: 18

auto-flow/ultraopt

Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。

Language: Python - Size: 10.3 MB - Last synced at: 7 days ago - Pushed at: over 3 years ago - Stars: 108 - Forks: 15

Eric-Bradford/TS-EMO

This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).

Language: MATLAB - Size: 1.83 MB - Last synced at: 2 months ago - Pushed at: almost 5 years ago - Stars: 100 - Forks: 14

wangronin/Bayesian-Optimization

Bayesian Optimization algorithms with various recent improvements

Language: Python - Size: 5.51 MB - Last synced at: about 21 hours ago - Pushed at: almost 2 years ago - Stars: 99 - Forks: 16

jbrea/BayesianOptimization.jl

Bayesian optimization for Julia

Language: Julia - Size: 175 KB - Last synced at: 4 days ago - Pushed at: 10 months ago - Stars: 96 - Forks: 16

s1dlx/sd-webui-bayesian-merger

opinionated bayesian optimisation for stable diffusion models block merge

Language: Python - Size: 181 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 96 - Forks: 13

alonfnt/bayex

Minimal Implementation of Bayesian Optimization in JAX

Language: Python - Size: 370 KB - Last synced at: 16 days ago - Pushed at: about 2 months ago - Stars: 95 - Forks: 3

jungtaekkim/bayeso

Simple, but essential Bayesian optimization package

Language: Python - Size: 5.38 MB - Last synced at: 5 days ago - Pushed at: 5 months ago - Stars: 94 - Forks: 9

google-research/hyperbo

Pre-trained Gaussian processes for Bayesian optimization

Language: Python - Size: 194 KB - Last synced at: 7 days ago - Pushed at: about 2 months ago - Stars: 91 - Forks: 8

aspuru-guzik-group/phoenics

Phoenics: Bayesian optimization for efficient experiment planning

Language: Python - Size: 17.4 MB - Last synced at: about 2 months ago - Pushed at: almost 6 years ago - Stars: 91 - Forks: 20

maxim5/hyper-engine

Python library for Bayesian hyper-parameters optimization

Language: Python - Size: 399 KB - Last synced at: 16 days ago - Pushed at: almost 7 years ago - Stars: 90 - Forks: 23

opendilab/DIgging

Decision Intelligence for digging best parameters in target environment.

Language: Python - Size: 6.32 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 89 - Forks: 0

baptistar/BOCS

Bayesian Optimization of Combinatorial Structures

Language: MATLAB - Size: 8.9 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 89 - Forks: 27

yunshengtian/DGEMO

[NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations

Language: Python - Size: 1.27 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 85 - Forks: 22

thomas-young-2013/open-box

Generalized and Efficient Blackbox Optimization System.

Language: Python - Size: 32.2 MB - Last synced at: 18 days ago - Pushed at: over 2 years ago - Stars: 83 - Forks: 82

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: 5 days ago - Pushed at: 5 days ago - Stars: 76 - Forks: 11

issp-center-dev/PHYSBO

PHYSBO -- optimization tools for PHYsics based on Bayesian Optimization

Language: Python - Size: 17.5 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 74 - Forks: 19

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: 5 months ago - Stars: 73 - Forks: 3

jia-zhuang/xgboost-lightgbm-hyperparameter-tuning

Bayesian Optimization and Grid Search for xgboost/lightgbm

Language: Python - Size: 5.86 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 66 - Forks: 15

ppgaluzio/MOBOpt

Multi-objective Bayesian optimization

Language: Python - Size: 106 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 64 - Forks: 20

samuelstanton/lambo

Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)

Language: Jupyter Notebook - Size: 34.3 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 60 - Forks: 19

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: 19 days ago - Pushed at: over 3 years ago - Stars: 59 - Forks: 28

cog-imperial/entmoot

Multiobjective black-box optimization using gradient-boosted trees

Language: Python - Size: 993 KB - Last synced at: about 9 hours ago - Pushed at: 3 months ago - Stars: 58 - Forks: 12

ziatdinovmax/GPim

Gaussian processes and Bayesian optimization for images and hyperspectral data

Language: Python - Size: 53.3 MB - Last synced at: 22 days ago - Pushed at: over 1 year ago - Stars: 57 - Forks: 7

wywongbd/autocluster

AutoML for clustering models in sklearn.

Language: Python - Size: 143 MB - Last synced at: 10 months ago - Pushed at: over 2 years ago - Stars: 57 - Forks: 22

shibuiwilliam/keras_gpyopt

Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.

Language: Jupyter Notebook - Size: 15.6 KB - Last synced at: about 1 year ago - Pushed at: about 7 years ago - Stars: 57 - Forks: 29

PKU-DAIR/mindware Fork of 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: 62.9 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 56 - Forks: 9

ahmedmalaa/AutoPrognosis

Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.

Language: Python - Size: 1.17 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 54 - Forks: 22

VlachosGroup/nextorch

Experimental design and Bayesian optimization library in Python/PyTorch

Language: Python - Size: 48.1 MB - Last synced at: about 2 months ago - Pushed at: 10 months ago - Stars: 51 - Forks: 11

dc-aichara/DS-ML-Public

Python Scripts and Jupyter Notebooks

Language: Jupyter Notebook - Size: 3.15 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 51 - Forks: 38

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: 50 - Forks: 10

ytopt-team/ytopt

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

Language: C - Size: 25.7 MB - Last synced at: 29 days ago - Pushed at: 3 months ago - Stars: 47 - Forks: 17

blindedjoy/RcTorch

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

Language: Jupyter Notebook - Size: 369 MB - Last synced at: 19 days ago - Pushed at: over 2 years ago - Stars: 43 - Forks: 12

Western-OC2-Lab/OASW-Concept-Drift-Detection-and-Adaptation

An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published in IEEE Internet of Things Magazine.

Language: Jupyter Notebook - Size: 22.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 42 - Forks: 13

dflemin3/approxposterior

A Python package for approximate Bayesian inference and optimization using Gaussian processes

Language: Python - Size: 50.1 MB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 42 - Forks: 10

wildtreetech/bayesian-optimisation

Finding the best parameters for any algorithm

Language: Jupyter Notebook - Size: 4.16 MB - Last synced at: 2 months ago - Pushed at: over 7 years ago - Stars: 42 - Forks: 10

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: 10 months ago - Stars: 41 - Forks: 9

wangronin/MIP-EGO

Mixed-Integer Parallel Efficient Global Optimization

Language: Python - Size: 1.97 MB - Last synced at: 7 days ago - Pushed at: over 3 years ago - Stars: 40 - Forks: 18

kiudee/bayes-skopt

A fully Bayesian implementation of sequential model-based optimization

Language: Python - Size: 7 MB - Last synced at: 27 days ago - Pushed at: over 1 year ago - Stars: 39 - Forks: 6

goktug97/bohb-hpo

Bayesian Optimization Hyperband Hyperparameter Optimization

Language: Python - Size: 52.7 KB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 38 - Forks: 4

akshaykgupta/SG_MCMC

Implementation of Stochastic Gradient MCMC algorithms

Language: Python - Size: 44.9 KB - Last synced at: over 1 year ago - Pushed at: over 8 years ago - Stars: 38 - Forks: 16

silvery107/wheeled-bipedal-jumping

Height Control and Optimal Torque Planning for Jumping with Wheeled-Bipedal Robots

Language: Python - Size: 59.2 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 35 - Forks: 6

neildhir/DCBO

Dynamic causal Bayesian optimisation

Language: Jupyter Notebook - Size: 8.82 MB - Last synced at: 6 months ago - Pushed at: about 2 years ago - Stars: 35 - Forks: 11

nesl/tinyodom

TinyOdom: Hardware-Aware Efficient Neural Inertial Navigation

Language: C++ - Size: 4.86 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 33 - Forks: 3

MasashiSode/MOBO

constrained/unconstrained multi-objective bayesian optimization package.

Language: Python - Size: 5.54 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 32 - Forks: 9

MSDLLCpapers/obsidian

Algorithmic process optimization and AI experiment design

Language: Python - Size: 12.2 MB - Last synced at: 29 days ago - Pushed at: 2 months ago - Stars: 31 - Forks: 5

zhandawei/Bayesian_Optimization_Algorithms

standard, high-dimensional, parallel, constrained, and multiobjective Bayesian optimization algorithms

Language: MATLAB - Size: 125 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 31 - Forks: 7

basf/mopti

Lightweight tools for experimental design and multi-objective optimization.

Language: Python - Size: 2.45 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 30 - Forks: 3

BobbyWilt/Spotify_Song_Recommender

This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.

Language: Jupyter Notebook - Size: 11.8 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 30 - Forks: 1

DLR-RM/curvature

Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.

Language: Python - Size: 411 KB - Last synced at: 3 days ago - Pushed at: over 4 years ago - Stars: 30 - Forks: 5

lasgroup/gosafeopt

Globally Safe Model-free Exploration of Dynamical Systems

Language: Python - Size: 6.31 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 29 - Forks: 6

michaelosthege/pyrff

pyrff: Python implementation of random fourier feature approximations for gaussian processes

Language: Jupyter Notebook - Size: 68.5 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 28 - Forks: 2

Shengcao-Cao/ESNAC

Learnable Embedding Space for Efficient Neural Architecture Compression

Language: Python - Size: 24.4 KB - Last synced at: almost 2 years ago - Pushed at: about 6 years ago - Stars: 28 - Forks: 3

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: 1 day ago - Pushed at: about 2 years ago - Stars: 27 - Forks: 6

Related Topics
machine-learning 167 python 93 gaussian-processes 93 hyperparameter-optimization 77 optimization 71 hyperparameter-tuning 52 deep-learning 51 bayesian-inference 36 random-forest 28 black-box-optimization 25 automl 24 pytorch 23 xgboost 23 data-science 21 neural-network 20 scikit-learn 20 neural-architecture-search 19 active-learning 19 keras 18 bayesian-methods 18 reinforcement-learning 17 matlab 17 blackbox-optimization 16 multi-objective-optimization 16 lightgbm 16 bayesian-statistics 15 feature-engineering 14 neural-networks 14 bayesian 14 optimization-algorithms 14 classification 13 tensorflow 13 multiobjective-optimization 13 machine-learning-algorithms 12 random-search 12 global-optimization 12 automated-machine-learning 12 surrogate-based-optimization 11 optuna 11 evolutionary-algorithms 10 hyperopt 10 sklearn 10 gridsearchcv 10 time-series 10 deep-neural-networks 10 jupyter-notebook 9 feature-selection 9 surrogate-models 9 convolutional-neural-networks 9 constrained-optimization 9 regression 9 model-selection 9 uncertainty-quantification 9 r 8 gaussian-process-regression 8 acquisition-functions 8 genetic-algorithm 8 mcmc 8 catboost 8 cross-validation 7 bayesian-neural-networks 7 meta-learning 7 hyperparameter-search 7 recommender-system 7 python3 7 thompson-sampling 7 botorch 7 pandas 7 particle-swarm-optimization 6 gradient-boosting 6 expensive-to-evaluate-functions 6 hpo 6 experimental-design 6 visualization 6 lstm 6 parameter-estimation 6 parameter-tuning 6 optimisation 6 benchmark 6 natural-language-processing 6 linear-regression 6 logistic-regression 6 parallel-computing 6 gradient-descent 6 artificial-neural-networks 5 llm 5 svm 5 expensive-optimization 5 robotics 5 sensitivity-analysis 5 kriging 5 variational-inference 5 matrix-factorization 5 bayesian-optimisation 5 julia 5 materials-informatics 5 materials-science 5 flask 5 approximate-inference 5 variational-autoencoder 5