Alternatives and similar repositories for optimizer-elo-ratings

Users that are interested in optimizer-elo-ratings are comparing it to the libraries listed below

• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆42Updated 2 years ago
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 2 years ago
• microprediction / humpday
  Elo ratings for global black box derivative-free optimizers
  ☆141Updated 4 months ago
• wesselb / oilmm
  Implementation of the Orthogonal Instantaneous Linear Mixing Model
  ☆9Updated 2 years ago
• carefree0910 / carefree-data
  A data processing module implemented with numpy
  ☆10Updated 2 years ago
• cog-imperial / GPdoemd
  Design of experiments for model discrimination using Gaussian process surrogate models
  ☆36Updated 6 years ago
• michaelosthege / pyrff
  pyrff: Python implementation of random fourier feature approximations for gaussian processes
  ☆28Updated 3 months ago
• eserie / wax-ml
  A Python library for machine-learning and feedback loops on streaming data
  ☆62Updated 2 years ago
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 3 years ago
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated 2 years ago
• big-data-lab-umbc / ensemble_causality_learning
  ☆10Updated 4 years ago
• samuelstanton / conformal-bayesopt
  Bayesian optimization with conformal coverage guarantees
  ☆28Updated 2 years ago
• QUVA-Lab / COMBO
  ☆51Updated 11 months ago
• vincentblot28 / conformalized_gp
  ☆48Updated 5 months ago
• se-jaeger / conformal-data-cleaning
  Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…
  ☆22Updated last year
• jajcayn / pygpso
  Gaussian-Processes Surrogate Optimisation in python
  ☆19Updated 4 years ago
• gerdm / bayes
  Neat Bayesian machine learning examples
  ☆58Updated 5 months ago
• deepcharles / tutorials-mva-2022
  Tutorials for the Machine Learning for Time Series class - Master MVA (2021/2022)
  ☆11Updated 3 years ago
• dataiku-research / cardinal
  A practical Active Learning python package with a strong focus on experiments.
  ☆51Updated 2 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆28Updated 4 years ago
• probml / JSL
  Jax SSM Library
  ☆49Updated 2 years ago
• datasailors / bayesian_calibration
  Bayesian calibration using Tensorflow Probability
  ☆35Updated 6 years ago
• mooscaliaproject / pymoode
  A Python framework for Differential Evolution using pymoo.
  ☆49Updated 7 months ago
• yngtdd / hyperspace
  Distributed Bayesian Optimization
  ☆23Updated 4 years ago
• briandesilva / discovery-of-physics-from-data
  Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"
  ☆27Updated 5 years ago
• vtopt / qnstop
  Quasi-Newton Algorithm for Stochastic Optimization
  ☆10Updated 3 years ago
• pyensemble / wildwood
  Advanced random forest methods in Python
  ☆57Updated last year
• ahmed-mohamed-sn / ATgfe
  Automated Transparent Genetic Feature Engineering
  ☆22Updated last year
• HuongHa12 / BO_unknown_searchspace
  This repository contains the code for the method GPUCB-UBO proposed in the paper 'Bayesian Optimization with Unknown Search Space', NeurI…
  ☆9Updated 5 years ago
• wesselb / mlkernels
  Kernels, the machine learning ones
  ☆14Updated 2 years ago