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Search results for machine learning bayesian optimization
bayesian-optimization
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machine-learning
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68 search results found
Nni
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13,725
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Scikit Optimize
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2,700
Sequential model-based optimization with a `scipy.optimize` interface
Modal
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2,057
A modular active learning framework for Python
Bayesian Machine Learning
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1,587
Notebooks about Bayesian methods for machine learning
Vizier
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1,142
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Gradient Free Optimizers
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1,072
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
Hyperparameter Optimization Of Machine Learning Algorithms
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1,025
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Emukit
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551
A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
Hyperactive
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475
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
Syne Tune
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342
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
Sherpa
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294
Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
Mango
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289
Parallel Hyperparameter Tuning in Python
Intrusion Detection System Using Machine Learning
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248
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
Gpflowopt
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218
Bayesian Optimization using GPflow
Cornell Moe
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165
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
Gpax
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163
Gaussian Processes for Experimental Sciences
Learn To Select Data
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131
Code for Learning to select data for transfer learning with Bayesian Optimization
Baybe
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117
A Bayesian Back End for Design of Experiments
Flexs
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112
Fitness landscape exploration sandbox for biological sequence design.
Summit
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92
Optimising chemical reactions using machine learning
Parbayesianoptimization
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88
Parallelizable Bayesian Optimization in R
Bayesianoptimization.jl
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84
Bayesian optimization for Julia
Bayesmark
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84
Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
Bayeso
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82
Simple, but essential Bayesian optimization package
Hyper Engine
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69
Python library for Bayesian hyper-parameters optimization
Hyperbo
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66
Pre-trained Gaussian processes for Bayesian optimization
Self Driving Lab Demo
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54
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.
Mindware
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54
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
Matbench Discovery
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52
An evaluation framework for machine learning models simulating high-throughput materials discovery.
Ds Ml Public
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49
Python Scripts and Jupyter Notebooks
Oasw Concept Drift Detection And Adaptation
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42
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.
Ultraopt
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34
Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。
Ts Emo
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32
This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
Bayes Skopt
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32
A fully Bayesian implementation of sequential model-based optimization
Bayesian Optimization
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31
Reference implementation of Optimistic Expected Improvement.
Max Value Entropy Search
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27
Max-value Entropy Search for Efficient Bayesian Optimization
Mat_discover
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27
A materials discovery algorithm geared towards exploring high-performance candidates in new chemical spaces.
Go Bayesopt
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25
A library for doing Bayesian Optimization using Gaussian Processes (blackbox optimizer) in Go/Golang.
Spotify_song_recommender
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24
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.
Mlr3mbo
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23
Flexible Bayesian Optimization in R
Dcbo
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22
Dynamic causal Bayesian optimisation
Bayesianoptimization.jl
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21
A julia package for bayesian optimization of black box functions.
Tinyodom
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20
TinyOdom: Hardware-Aware Efficient Neural Inertial Navigation
Insolver
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16
Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.
Auritus
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16
Auritus: An Open-Source Optimization Toolkit for Training and Development of Human Movement Models and Filters Using Earables
Bore
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16
Bayesian Optimization with Density-Ratio Estimation
Rctorch
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16
a PyTorch based Reservoir Computing package with Automatic Hyper-Parameter Tuning
19 Questions
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15
A machine learning / bayesian inference engine assigning attributes to objects
Mosaic_ml
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15
AutoML with MCTS
Hpbandster Sklearn
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15
A scikit-learn wrapper for HpBandSter hyper parameter search.
Mindware
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14
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
Cvopt
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12
Machine learning's parameter search and feature selection module which is integrated log management and visualization.
Sccop
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11
Symmetry crystal combinatorial optimization program for crystal prediction.
Sober
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11
Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration
Nips2017
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11
Multi-Information Source Optimization
Pythonbrmltoolbox
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10
Python 3.7 version of David Barber's MATLAB BRMLtoolbox
Param Opt
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9
本项目开发了一个机器学习和深度学习的训练工具。该训练工具基于sklearn和pytorch,不仅支持
Zombi
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8
Zooming Memory Based Initialization (ZoMBI) algorithm for discovery of optima within challenging needle-in-a-haystack (extreme data imbalance) datasets.
Paccmann_gp
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7
PyTorch/skopt based implementation of Bayesian optimization with Gaussian processes - build to optimize latent spaces of VAEs to generate molecules with desired properties
Diego
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7
Diego: Data in, IntElliGence Out. A fast framework that supports the rapid construction of automated learning tasks. Simply create an automated learning study (Study) and generate correlated trials (Trial). Then run the code and get a machine learning model. Implemented using Scikit-learn API glossary, using Bayesian optimization and genetic algorithms for automated machine learning. Inspired by [Fast.ai](https://github.com/fastai/fastai).
Nomu
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6
NOMU: Neural Optimization-based Model Uncertainty
Madgui
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6
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
Odbo
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6
Bayesian optimization with prescreening of search space via supervised outlier detection
Adverse Events
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6
IEEE BIBM 2021: Bayesian optimization-guided topic modeling for automatic detection of sepsis-related events from free text
Bayesianopttools
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6
Bayesian Optimization and Uncertainty Analyses Tools
Pbmohpo
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5
Preferential Bayesian Multi-Objective Hyperparameter Optimization
Python Machine Learning Models
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5
Barebones Python implementations of machine learning models, without using machine learning libraries
Bopt
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5
Bayesian Optimization using Gaussian Processes + web interface with result visualizations
Hyper Optimizer
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5
Convenient classes for optimizing Hyper-parameters, using Random search, Spearmint and SigOpt
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