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
