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bayesian-optimization
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eddiebergman
commented
Jan 10, 2022
We currently fit and predict upon loading autosklearn.experimental.askl2 for the first time. In environments with a non-persistent filesystem (autosklearn is installed into a new filesystem each time), this can add quite a bit of time delay as experienced in #1362
It seems more applicable to export the
A Python implementation of global optimization with gaussian processes.
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Feb 11, 2022 - Python
Sequential model-based optimization with a `scipy.optimize` interface
visualization
machine-learning
binder
optimization
scikit-learn
scientific-visualization
scientific-computing
hyperparameter-optimization
bayesopt
gradient
bayesian-optimization
hacktoberfest
hyperparameter-tuning
hyperparameter
hyperparameter-search
sequential-recommendation
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Updated
Feb 3, 2022 - Python
A modular active learning framework for Python
python
machine-learning
scikit-learn
machine-learning-algorithms
machine-learning-library
machine-learning-api
bayesian-optimization
active-learning
active-learning-module
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Feb 7, 2022 - Python
Notebooks about Bayesian methods for machine learning
machine-learning
bayesian-methods
gaussian-processes
bayesian-optimization
bayesian-machine-learning
variational-autoencoder
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Jan 19, 2021 - Jupyter Notebook
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
machine-learning
deep-learning
random-forest
optimization
svm
genetic-algorithm
machine-learning-algorithms
hyperparameter-optimization
artificial-neural-networks
grid-search
tuning-parameters
knn
bayesian-optimization
hyperparameter-tuning
random-search
particle-swarm-optimization
hpo
python-examples
python-samples
hyperband
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Apr 4, 2022 - Jupyter Notebook
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
machine-learning
optimization
constrained-optimization
hyperparameter-optimization
meta-heuristic
simulated-annealing
hill-climbing
bayesian-optimization
nelder-mead
random-search
particle-swarm-optimization
evolution-strategies
blackbox-optimization
gradient-free-optimization
tree-of-parzen-estimator
hyperactive
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Feb 27, 2022 - Python
Sequential Model-based Algorithm Configuration
random-forest
configuration
hyperparameter-optimization
bayesian-optimization
hyperparameter-tuning
automl
automated-machine-learning
hyperparameter-search
bayesian-optimisation
gaussian-process
algorithm-configuration
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Mar 31, 2022 - Python
a distributed Hyperband implementation on Steroids
hyperparameter-optimization
bayesian-optimization
automl
automated-machine-learning
neural-architecture-search
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Jan 31, 2021 - Python
Experimental Global Optimization Algorithm
optimization
hyperparameter-optimization
global-optimization
bayesian-optimization
blackbox-optimization
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Jan 29, 2018 - Python
A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
python
machine-learning
emulation
decision-making
uncertainty-quantification
sensitivity-analysis
bayesian-optimization
experimental-design
bayesian-quadrature
multi-fidelity
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Feb 26, 2022 - Python
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
python
data-science
machine-learning
deep-learning
optimization
scikit-learn
parallel-computing
keras
pytorch
xgboost
hyperparameter-optimization
feature-engineering
bayesian-optimization
automated-machine-learning
parameter-tuning
neural-architecture-search
meta-heuristics
hyperactive
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Mar 16, 2022 - Python
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
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Mar 16, 2022 - Python
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
nlp
natural-language-processing
hyperparameter-optimization
topic-modeling
nlp-library
bayesian-optimization
hyperparameter-tuning
latent-dirichlet-allocation
evaluation-metrics
neural-topic-models
latent-semantic-analysis
topic-models
hyperparameter-search
non-negative-matrix-factorization
nlproc
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Feb 26, 2022 - Python
Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
machine-learning
deep-learning
keras
hyperparameter-optimization
machine-learning-library
bayesian-optimization
hyperparameter-tuning
hyperparameter-search
hyperparameter-grid
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Oct 18, 2020 - JavaScript
Bayesian Optimization using GPflow
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Dec 2, 2020 - Python
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
machine-learning
optimization
hyperparameter-optimization
bayesian
gaussian-processes
bayesian-optimization
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Feb 4, 2020 - C++
A hyperparameter optimization framework, inspired by Optuna.
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Mar 28, 2022 - Go
Anomaly detection for temporal data using LSTMs
deep-learning
time-series
recurrent-neural-networks
lstm
neural-networks
bayesian-optimization
lstm-neural-networks
anomaly-detection
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Oct 5, 2021 - Jupyter Notebook
A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++-11)
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Jun 15, 2021 - C++
Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB
matlab
bayesian-optimization
optimization-algorithms
log-likelihood
noiseless-functions
noisy-functions
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Apr 20, 2021 - MATLAB
Toolbox for Bayesian Optimization and Model-Based Optimization in R
r
optimization
hyperparameter-optimization
r-package
mlr
model-based-optimization
black-box-optimization
bayesian-optimization
mlrmbo
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Apr 2, 2022 - R
Generalized and Efficient Blackbox Optimization System [SIGKDD'21].
distributed-systems
saas
constrained-optimization
multi-objective-optimization
bayesian-optimization
hyper-parameter-optimization
blackbox-optimization
automatic-machine-learning
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Apr 1, 2022 - Python
Surrogate Optimization Toolbox for Python
asynchronous
optimization
global-optimization
black-box-optimization
gaussian-processes
bayesian-optimization
radial-basis-function
global-optimization-algorithms
surrogate-models
surrogate-based-optimization
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Oct 27, 2021 - Jupyter Notebook
Hyperparameter optimization in Julia.
optimization
hyperparameter-optimization
global-optimization
bayesian-optimization
parameter-tuning
hyperband
random-sampling
bohb
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Feb 11, 2022 - Julia
GPstuff - Gaussian process models for Bayesian analysis
regression
octave
classification
survival-analysis
bayesian
spatial-analysis
bayesian-inference
expectation-propagation
mcmc
gaussian-processes
variational-inference
bayesian-optimization
covariance-functions
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Sep 24, 2021 - MATLAB
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
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Jan 28, 2019 - Python
A toolset for black-box hyperparameter optimisation.
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Jan 26, 2020 - Python
A fully decentralized hyperparameter optimization framework
optimization
parallelism
hyperparameter-optimization
bayesian-optimization
cmaes
conditional-search-space
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Sep 30, 2020 - Python
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https://github.com/microsoft/nni/blob/8d5f643c64580bb26a7b10a3c4c9accf617f65b1/nni/compression/pytorch/speedup/jit_translate.py#L382
While trying to speedup my single shot detector, the following error comes up. Any way to fix this,