Projects in Awesome Lists tagged with bayesian-optimization

https://github.com/microsoft/nni

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

automated-machine-learning automl bayesian-optimization data-science deep-learning deep-neural-network distributed feature-engineering hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-algorithms mlops model-compression nas neural-architecture-search neural-network python pytorch tensorflow

Last synced: 05 Oct 2025

https://github.com/Microsoft/nni

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

automated-machine-learning automl bayesian-optimization data-science deep-learning deep-neural-network distributed feature-engineering hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-algorithms mlops model-compression nas neural-architecture-search neural-network python pytorch tensorflow

Last synced: 18 Apr 2025

https://github.com/bayesian-optimization/bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bayesian-optimization gaussian-processes optimization python simple

Last synced: 11 Dec 2025

https://github.com/bayesian-optimization/BayesianOptimization

A Python implementation of global optimization with gaussian processes.

bayesian-optimization gaussian-processes optimization python simple

Last synced: 04 Apr 2025

https://github.com/automl/auto-sklearn

Automated Machine Learning with scikit-learn

automated-machine-learning automl bayesian-optimization hyperparameter-optimization hyperparameter-search hyperparameter-tuning meta-learning metalearning scikit-learn smac

Last synced: 12 May 2025

https://automl.github.io/auto-sklearn/

Automated Machine Learning with scikit-learn

automated-machine-learning automl bayesian-optimization hyperparameter-optimization hyperparameter-search hyperparameter-tuning meta-learning metalearning scikit-learn smac

Last synced: 23 Feb 2025

https://github.com/scikit-optimize/scikit-optimize

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

bayesian-optimization bayesopt binder hacktoberfest hyperparameter hyperparameter-optimization hyperparameter-search hyperparameter-tuning machine-learning optimization scientific-computing scientific-visualization scikit-learn sequential-recommendation visualization

Last synced: 30 Sep 2025

https://github.com/modal-python/modal

A modular active learning framework for Python

active-learning active-learning-module bayesian-optimization machine-learning machine-learning-algorithms machine-learning-api machine-learning-library python scikit-learn

Last synced: 14 May 2025

https://github.com/modAL-python/modAL

A modular active learning framework for Python

active-learning active-learning-module bayesian-optimization machine-learning machine-learning-algorithms machine-learning-api machine-learning-library python scikit-learn

Last synced: 26 Mar 2025

https://github.com/krasserm/bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

bayesian-machine-learning bayesian-methods bayesian-optimization gaussian-processes machine-learning variational-autoencoder

Last synced: 15 May 2025

https://github.com/google/vizier

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

algorithm bayesian-optimization blackbox-optimization deep-learning distributed-computing distributed-systems evolutionary-algorithms google grpc hyperparameter-optimization hyperparameter-tuning machine-learning open-source optimization tuning tuning-parameters vizier

Last synced: 13 May 2025

https://github.com/liyanghart/hyperparameter-optimization-of-machine-learning-algorithms

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

artificial-neural-networks automated-machine-learning automl bayesian-optimization deep-learning genetic-algorithm grid-search hpo hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-algorithms machine-learning-optimization optimization particle-swarm-optimization python-examples python-samples random-forest random-search tuning-parameters

Last synced: 16 May 2025

https://github.com/LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms

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

artificial-neural-networks automated-machine-learning automl bayesian-optimization deep-learning genetic-algorithm grid-search hpo hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-algorithms machine-learning-optimization optimization particle-swarm-optimization python-examples python-samples random-forest random-search tuning-parameters

Last synced: 27 Apr 2025

https://github.com/simonblanke/gradient-free-optimizers

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

bayesian-optimization blackbox-optimization constrained-optimization evolution-strategies gradient-free-optimization hill-climbing hyperactive hyperparameter-optimization machine-learning meta-heuristic nelder-mead optimization particle-swarm-optimization random-search simulated-annealing tree-of-parzen-estimator

Last synced: 14 May 2025

https://github.com/SimonBlanke/Gradient-Free-Optimizers

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

bayesian-optimization blackbox-optimization constrained-optimization evolution-strategies gradient-free-optimization hill-climbing hyperactive hyperparameter-optimization machine-learning meta-heuristic nelder-mead optimization particle-swarm-optimization random-search simulated-annealing tree-of-parzen-estimator

Last synced: 05 Apr 2025

https://github.com/automl/SMAC3

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

algorithm-configuration automated-machine-learning automl bayesian-optimisation bayesian-optimization configuration gaussian-process hyperparameter-optimization hyperparameter-search hyperparameter-tuning random-forest

Last synced: 05 Apr 2025

https://github.com/MIND-Lab/OCTIS

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

bayesian-optimization evaluation-metrics hyperparameter-optimization hyperparameter-search hyperparameter-tuning latent-dirichlet-allocation latent-semantic-analysis natural-language-processing neural-topic-models nlp nlp-library nlproc non-negative-matrix-factorization topic-modeling topic-models

Last synced: 03 May 2025

https://automl.github.io/HpBandSter/

a distributed Hyperband implementation on Steroids

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

Last synced: 18 Nov 2025

https://github.com/automl/HpBandSter

a distributed Hyperband implementation on Steroids

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

Last synced: 18 Apr 2025

https://github.com/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.

bayesian-optimization bayesian-quadrature decision-making emulation experimental-design machine-learning multi-fidelity python sensitivity-analysis uncertainty-quantification

Last synced: 09 Apr 2025

https://github.com/simonblanke/hyperactive

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

automated-machine-learning bayesian-optimization data-science deep-learning feature-engineering hyperactive hyperparameter-optimization keras machine-learning model-selection neural-architecture-search optimization parallel-computing parameter-tuning python pytorch scikit-learn xgboost

Last synced: 14 May 2025

https://github.com/SimonBlanke/Hyperactive

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

automated-machine-learning bayesian-optimization data-science deep-learning feature-engineering hyperactive hyperparameter-optimization keras machine-learning model-selection neural-architecture-search optimization parallel-computing parameter-tuning python pytorch scikit-learn xgboost

Last synced: 05 Apr 2025

https://github.com/ray-project/tune-sklearn

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

automl bayesian-optimization gridsearchcv hyperparameter-tuning scikit-learn

Last synced: 01 Oct 2025

https://github.com/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..)

autonomous-vehicles bayesian-optimization catboost cicids2017 cyber-security decision-tree ensemble-learning hpo hyperparameter-optimization intrusion-detection intrusion-detection-system kmeans lightgbm machine-learning network-security python-examples random-forest stacking xgboost

Last synced: 21 Jul 2025

https://github.com/arm-software/mango

Parallel Hyperparameter Tuning in Python

bayesian-optimization blackbox-optimization cluster-deployment gaussian-processes hyperparameter-optimization hyperparameter-tuning keras-examples kubernetes-deployment machine-learning neural-network neural-networks parallel-computing production-system pytorch-compatible scipy-compatible sklearn-compatible tensorflow-examples tuning-parameters

Last synced: 13 Apr 2025

https://github.com/ARM-software/mango

Parallel Hyperparameter Tuning in Python

bayesian-optimization blackbox-optimization cluster-deployment gaussian-processes hyperparameter-optimization hyperparameter-tuning keras-examples kubernetes-deployment machine-learning neural-network neural-networks parallel-computing production-system pytorch-compatible scipy-compatible sklearn-compatible tensorflow-examples tuning-parameters

Last synced: 01 May 2025

https://github.com/PKU-DAIR/open-box

Generalized and Efficient Blackbox Optimization System

automatic-machine-learning bayesian-optimization blackbox-optimization constrained-optimization distributed-systems hyper-parameter-optimization multi-objective-optimization saas

Last synced: 05 Apr 2025

https://github.com/syne-tune/syne-tune

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

bayesian-optimization hyperparameter-optimization hyperparameter-tuning machine-learning multi-objective-optimization neural-architecture-search sagemaker

Last synced: 05 Apr 2025

https://github.com/sherpa-ai/sherpa

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

bayesian-optimization deep-learning hyperparameter-grid hyperparameter-optimization hyperparameter-search hyperparameter-tuning keras machine-learning machine-learning-library

Last synced: 04 Apr 2025

https://github.com/emdgroup/baybe

Bayesian Optimization and Design of Experiments

active-learning bayesian-optimization design-of-experiments experimental-design machine-learning optimization

Last synced: 08 Apr 2025

https://github.com/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.

bayesian-optimization benchmarking evaluation language-model llm machine-learning

Last synced: 05 Apr 2025

https://github.com/GPflow/GPflowOpt

Bayesian Optimization using GPflow

bayesian-optimization gpflow hyperparameter-optimization machine-learning

Last synced: 16 Nov 2025

https://github.com/experimental-design/bofire

Experimental design and (multi-objective) bayesian optimization.

active-learning bayesian-optimization cheminformatics experimental-design multiobjective-optimization

Last synced: 08 Apr 2025

https://github.com/c-bata/goptuna

A hyperparameter optimization framework, inspired by Optuna.

bandit-algorithms bayesian-optimization blackbox-optimization evolution-strategies

Last synced: 04 Apr 2025

https://github.com/gpflow/gpflowopt

Bayesian Optimization using GPflow

bayesian-optimization gpflow hyperparameter-optimization machine-learning

Last synced: 05 Apr 2025

https://github.com/wujian16/Cornell-MOE

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

bayesian bayesian-optimization gaussian-processes hyperparameter-optimization machine-learning optimization

Last synced: 01 May 2025

https://github.com/acerbilab/bads

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

bayesian-optimization log-likelihood matlab noiseless-functions noisy-functions optimization-algorithms

Last synced: 09 Apr 2025

https://github.com/ziatdinovmax/gpax

Gaussian Processes for Experimental Sciences

active-learning bayesian-inference bayesian-neural-networks bayesian-optimization deep-kernel-learning gaussian-processes hypothesis-learning machine-learning multi-fidelity-learning

Last synced: 15 May 2025

https://github.com/dme65/pysot

Surrogate Optimization Toolbox for Python

asynchronous bayesian-optimization black-box-optimization gaussian-processes global-optimization global-optimization-algorithms optimization radial-basis-function surrogate-based-optimization surrogate-models

Last synced: 05 Apr 2025

https://github.com/baggepinnen/Hyperopt.jl

Hyperparameter optimization in Julia.

bayesian-optimization bohb global-optimization hyperband hyperparameter-optimization optimization parameter-tuning random-sampling

Last synced: 15 Mar 2025

https://github.com/baggepinnen/hyperopt.jl

Hyperparameter optimization in Julia.

bayesian-optimization bohb global-optimization hyperband hyperparameter-optimization optimization parameter-tuning random-sampling

Last synced: 15 Mar 2025

https://github.com/mlr-org/mlrmbo

Toolbox for Bayesian Optimization and Model-Based Optimization in R

bayesian-optimization black-box-optimization hyperparameter-optimization mlr mlrmbo model-based-optimization optimization r r-package

Last synced: 04 Apr 2025

https://github.com/automl/HPOBench

Collection of hyperparameter optimization benchmark problems

bayesian-optimization benchmark benchmarking containerized-benchmarks hyperparameter-optimization

Last synced: 05 Apr 2025

https://github.com/uber/bayesmark

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

bayesian-optimization benchmark-framework machine-learning sklearn

Last synced: 07 Apr 2025

https://github.com/gdikov/hypertunity

A toolset for black-box hyperparameter optimisation.

bayesian-optimization gpyopt hyperparameter-optimization slurm tensorboard

Last synced: 18 Apr 2025

https://github.com/sustainable-processes/summit

Optimising chemical reactions using machine learning

bayesian-optimization chemistry drug-discovery machine-learning nelder-mead neural-networks optimization self-optimization snobfit tsemo

Last synced: 08 Apr 2025

https://github.com/AIworx-Labs/chocolate

A fully decentralized hyperparameter optimization framework

bayesian-optimization cmaes conditional-search-space hyperparameter-optimization optimization parallelism

Last synced: 11 May 2025

https://github.com/aamini/chemprop

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

active-learning bayesian-optimization chemistry drug-discovery evidential-deep-learning molecule neural-network uncertainty virtual-screening

Last synced: 23 Oct 2025

https://github.com/probprog/bopp

BOPP: Bayesian Optimization for Probabilistic Programs

bayesian-inference bayesian-optimization probabilistic-programming

Last synced: 12 Dec 2025

https://github.com/JuliaNonconvex/Nonconvex.jl

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

augmented-lagrangian-method automatic-differentiation bayesian-optimization black-box-optimization derivative-free-optimization discrete-optimization evolutionary-algorithms global-optimization gradient-based-optimisation implicit-differentiation interior-point-optimizer metaheuristics method-of-moving-asymptotes mixed-integer-nonlinear-programming nonlinear-optimization nonlinear-programming optimization semidefinite-programming surrogate-assisted-optimization

Last synced: 04 May 2025

https://github.com/opendilab/digging

Decision Intelligence for digging best parameters in target environment.

bayesian-optimization evolutionary-algorithm reinforcement-learning searching

Last synced: 22 Apr 2025

https://github.com/jungtaekkim/bayeso

Simple, but essential Bayesian optimization package

bayesian-optimization hyperparameter-optimization machine-learning

Last synced: 04 Apr 2025

https://github.com/eric-bradford/ts-emo

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

bayesian-optimization black-box-optimization expensive-to-evaluate-functions gaussian-processes genetic-algorithms kriging machine-learning matlab multi-objective-optimization spectral-sampling surrogate-based-optimization thompson-sampling

Last synced: 03 Sep 2025

https://github.com/jbrea/bayesianoptimization.jl

Bayesian optimization for Julia

bayesian-methods bayesian-optimization gaussian-processes julia machine-learning optimization

Last synced: 03 Nov 2025

https://github.com/aspuru-guzik-group/phoenics

Phoenics: Bayesian optimization for efficient experiment planning

bayesian-optimization experiment-planning phoenics self-driving-laboratories

Last synced: 11 Apr 2025

https://github.com/google-research/hyperbo

Pre-trained Gaussian processes for Bayesian optimization

bayesian-methods bayesian-optimization deep-learning hyperparameter-tuning machine-learning

Last synced: 06 Apr 2025

https://github.com/jbrea/BayesianOptimization.jl

Bayesian optimization for Julia

bayesian-methods bayesian-optimization gaussian-processes julia machine-learning optimization

Last synced: 04 May 2025

https://github.com/alonfnt/bayex

Minimal Implementation of Bayesian Optimization in JAX

automatic-differentiation bayesian-optimization gaussian-process-regression jax python

Last synced: 05 Apr 2025

https://github.com/maxim5/hyper-engine

Python library for Bayesian hyper-parameters optimization

bayesian-optimization big-data convolutional-neural-networks data-science deep-learning gaussian-processes hyperparameter-optimization machine-learning model-selection neural-network optimization-algorithms python random-search tensorflow

Last synced: 06 Apr 2025

https://github.com/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.

adaptive-design as7341 automation bayesian-optimization circuitpython closed-loop internet-of-laboratory-things machine-learning materials-informatics materials-science micropython neopixel optics pico-w pico-wireless python raspberry-pi rpi-pico self-driving-lab smart-lab

Last synced: 05 Apr 2025

https://github.com/acerbilab/pybads

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

bayesian-optimization log-likelihood noiseless-functions noisy-functions optimization-algorithms python

Last synced: 14 Jul 2025

https://github.com/issp-center-dev/PHYSBO

PHYSBO -- optimization tools for PHYsics based on Bayesian Optimization

bayesian-optimization

Last synced: 08 Apr 2025

https://github.com/janosh/matbench-discovery

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

bayesian-optimization convex-hull high-throughput-search interatomic-potential machine-learning materials-discovery

Last synced: 15 Mar 2025

https://github.com/wywongbd/autocluster

AutoML for clustering models in sklearn.

automl bayesian-optimization clustering hyperparameter-optimization

Last synced: 20 Nov 2025

https://github.com/ziatdinovmax/GPim

Gaussian processes and Bayesian optimization for images and hyperspectral data

bayesian-optimization colab-notebook gaussian-processes hyperspectral-images image-processing lattice-models microscopy

Last synced: 07 May 2025

https://github.com/ziatdinovmax/gpim

Gaussian processes and Bayesian optimization for images and hyperspectral data

bayesian-optimization colab-notebook gaussian-processes hyperspectral-images image-processing lattice-models microscopy

Last synced: 14 Apr 2025

https://github.com/PKU-DAIR/mindware

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

automl-algorithms automl-pipeline bayesian-optimization blackbox-optimization data-science deep-learning distributed-systems ensemble-learning hyper-parameter-optimization knobs-tuning machine-learning meta-learning neural-architecture-search python

Last synced: 09 May 2025

https://github.com/dc-aichara/DS-ML-Public

Python Scripts and Jupyter Notebooks

bayesian-optimization beautifulsoup bitcoin catboost dash dashboard data-analysis data-mining data-science data-visualisation hyperparameter-tuning hyperparameters-optimization lightgbm machine-learning news plotly python telegram web-scraping xgboost

Last synced: 09 May 2025

https://github.com/ytopt-team/ytopt

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

asynchronous-and-dynamic-task-management asynchronous-search autotune autotuning bayesian-optimization hyperparameter-optimization hyperparameter-tuning python pytorch tensorflow

Last synced: 21 Oct 2025

https://github.com/oxfordcontrol/bayesian-optimization

Reference implementation of Optimistic Expected Improvement.

bayesian-optimization convex-optimization gaussian-processes machine-learning tensorflow

Last synced: 18 Jul 2025

https://github.com/sparks-baird/mat_discover

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

adaptive-design bayesian-optimization crabnet earth-mover-distance earth-movers-distance machine-learning matdiscover materials-discoveries materials-discovery materials-informatics materials-project materials-science materials-screening numba predict-materials-properties python pytorch wasserstein wasserstein-distance wasserstein-metric

Last synced: 13 Oct 2025

https://github.com/blindedjoy/rctorch

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

artificial-intelligence artificial-neural-networks bayesian-optimization echo-state-networks machine-learning pytorch reservoir-computing

Last synced: 15 Oct 2025

https://github.com/dflemin3/approxposterior

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

approximate-inference bayesian-inference bayesian-optimization gaussian-processes inference python

Last synced: 21 Oct 2025

https://github.com/wildtreetech/bayesian-optimisation

Finding the best parameters for any algorithm

bayesian-optimization ipynb notebook regression

Last synced: 28 Oct 2025

https://github.com/goktug97/bohb-hpo

Bayesian Optimization Hyperband Hyperparameter Optimization

bayesian bayesian-optimization bohb hpo hyperband hyperparameter-optimization

Last synced: 26 Apr 2025

https://github.com/dlr-rm/curvature

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

bayesian-deep-learning bayesian-inference bayesian-optimization deep-learning laplace-approximation pytorch robotics

Last synced: 06 Oct 2025

https://github.com/michaelosthege/pyrff

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

bayesian-optimization gaussian-processes thompson-sampling

Last synced: 21 Jun 2025

https://github.com/mlr-org/mlr3mbo

Flexible Bayesian Optimization in R

automl bayesian-optimization bbotk black-box-optimization cran gaussian-process hpo hyperparameter hyperparameter-optimization hyperparameter-tuning machine-learning mlr3 model-based-optimization optimization optimizer r r-package random-forest tuning

Last synced: 12 Oct 2025

https://github.com/mizuhoaoki/gaussian_process

gaussian process examples

bayesian-optimization gaussian-processes path-following pid pid-control python

Last synced: 12 Oct 2025

https://github.com/yard1/hpbandster-sklearn

A scikit-learn wrapper for HpBandSter hyper parameter search.

automated-machine-learning automl bayesian-optimization hyperparameter-optimization hyperparameter-tuning machine-learning python scikit-learn sklearn

Last synced: 22 Apr 2025

https://github.com/yuki-koyama/sequential-gallery

Sequential Gallery for Interactive Visual Design Optimization [SIGGRAPH 2020]

bayesian-optimization

Last synced: 29 Oct 2025

https://github.com/mindsetlib/insolver

Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.

auto-ml automated-machine-learning automl bayesian-optimization data-science elyra elyra-community feature-engineering hyperparameter-optimization insurance insurance-claims insurance-company insurance-scoring insurance-team low-code machine-learning

Last synced: 14 Dec 2025

https://github.com/MindSetLib/Insolver

Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.

auto-ml automated-machine-learning automl bayesian-optimization data-science elyra elyra-community feature-engineering hyperparameter-optimization insurance insurance-claims insurance-company insurance-scoring insurance-team low-code machine-learning

Last synced: 20 Jul 2025

https://github.com/wiseodd/lapeft-bayesopt

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

bayesian-optimization laplace-approximation llm peft

Last synced: 06 Apr 2025

https://github.com/justinjjlee/nhl-analytics

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

bayesian-inference bayesian-optimization hidden-markov-model julia julia-language machine-learning nhl nhl-data python sports sports-analytics sports-stats time-series visualization

Last synced: 05 May 2025

https://github.com/hyeonsangjeon/hyperparameters-optimization

Hyperparameters-Optimization

bayesian-optimization bayessearchcv fmin grid-search gridsearchcv hpo hyperband hyperbandsearchcv hyperparameter hyperparameter-optimization hyperparameter-search hyperparameter-tuning optimization random-search randomsearchcv tpe tree-of-parzen-estimator tree-structured

Last synced: 22 Apr 2025

https://github.com/fulldecent/19-questions

A machine learning / bayesian inference engine assigning attributes to objects

artificial-general-intelligence artificial-intelligence artificial-neural-networks bayesian bayesian-inference bayesian-methods bayesian-network bayesian-optimization data-science entropy game machine-learning neural-network php

Last synced: 28 Sep 2025

https://github.com/cyberagentailab/preferentialbo

(ICML2023) Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes

bayesian-optimization gaussian-processes preferential-optimization

Last synced: 21 Sep 2025

https://github.com/aurelienmorgan/abnormal_vibrations_watchdog

Time Series Anomaly detection. The monitored signal is made-up of machinery vibration sensor measurements.

anomaly-detection autoencoder bayesian-optimization data-pipeline etl jupyter-notebook keras lstm mongo-db pyspark python rnn tensorflow time-series

Last synced: 24 Oct 2025

https://github.com/sovrasov/ags_nlp_solver

Derivative-free nonlinear global optimizer with python interface

bayesian-optimization constrained-optimization derivative-free global-optimization nonlinear-optimization

Last synced: 13 Apr 2025

https://github.com/wkirgsn/deep-pmsm

Estimate intrinsic Permanent Magnet Synchronous Motor temperatures with deep recurrent and convolutional neural networks.

bayesian-optimization convolutional-neural-networks deep-learning electric-motor electric-vehicles keras machine-learning recurrent-neural-networks regression temperature-monitoring time-series

Last synced: 01 Aug 2025

https://github.com/mikeroyal/bayesian-statistics-guide

Bayesian Statistics Guide

bayes bayes-classifier bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-network bayesian-networks bayesian-optimization bayesian-statistics deep-learning machine-learning pytorch statistics

Last synced: 13 May 2025

https://github.com/jose-jaen/airbnb

Airbnb price prediction using Machine Learning and Deep Learning

ai algorithms bayes bayesian-optimization bayesian-statistics data-science deep-learning deployment econometrics machine-learning python streamlit xai

Last synced: 15 Apr 2025

https://github.com/acerbilab/amortized-conditioning-engine

Amortized Probabilistic Conditioning for Optimization, Simulation and Inference (Chang et al., AISTATS 2025)

bayesian-optimization meta-learning neural-processes probabilistic-machine-learning simulation-based-inference

Last synced: 02 Sep 2025

https://github.com/genfifth/cvopt

Machine learning's parameter search and feature selection module which is integrated log management and visualization.

bayesian-optimization deep-learning feature-selection hyperopt hyperparameter-optimization integrated-visualization keras logmanagement machine-learning python scikit-learn

Last synced: 10 Apr 2025

https://github.com/paccmann/paccmann_gp

PyTorch/skopt based implementation of Bayesian optimization with Gaussian processes - build to optimize latent spaces of VAEs to generate molecules with desired properties

bayesian-optimization chemoinformatics gaussian-processes generative-model machine-learning

Last synced: 10 Apr 2025