Alternatives and similar repositories for evalset

Users that are interested in evalset are comparing it to the libraries listed below

• automl / HPOlib1.5
  ☆69Updated 4 years ago
• ziyuw / rembo
  Bayesian optimization in high-dimensions via random embedding.
  ☆114Updated 11 years ago
• markm541374 / gpbo
  gpbo
  ☆25Updated 4 years ago
• facebookresearch / alebo
  Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization
  ☆41Updated 3 years ago
• uber / bayesmark
  Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
  ☆148Updated 3 years ago
• mwhoffman / pybo
  Python package for modular Bayesian optimization
  ☆135Updated 4 years ago
• baptistar / BOCS
  Bayesian Optimization of Combinatorial Structures
  ☆97Updated 5 years ago
• sods / paramz
  Parameterization Framework for parameterized model creation and handling.
  ☆49Updated 4 months ago
• kirthevasank / add-gp-bandits
  Additive Gaussian Process Bandits - version 1.0
  ☆27Updated 8 years ago
• RuiShu / nn-bayesian-optimization
  We use a modified neural network instead of Gaussian process for Bayesian optimization.
  ☆108Updated 7 years ago
• jmetzen / bayesian_optimization
  Bayesian optimization
  ☆37Updated 5 years ago
• kirthevasank / gp-parallel-ts
  Parallelised Thompson Sampling in GPs for Bayesian Optimisation
  ☆36Updated 7 years ago
• Networks-Learning / l1-ls.py
  L1 regularized Least Squares minimization problem solver.
  ☆17Updated 8 years ago
• HIPS / firefly-monte-carlo
  Implementation of an algorithm for Markov chain Monte Carlo with data subsampling
  ☆32Updated 9 years ago
• SheffieldML / deepGP
  Deep Gaussian Processes in matlab
  ☆93Updated 3 years ago
• aminnayebi / HesBO
  The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces
  ☆41Updated 5 years ago
• mauriziofilippone / deep_gp_random_features
  ☆40Updated 6 years ago
• snap-stanford / snapvx
  ☆65Updated 4 years ago
• vlad17 / runlmc
  Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.
  ☆38Updated 2 years ago
• HIPS / author-roulette
  LaTeX package for randomizing author order based on a public seed.
  ☆40Updated 10 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆33Updated 10 years ago
• izmailovpavel / TTGP
  ☆26Updated 7 years ago
• cvxgrp / ncvx
  ☆76Updated 3 years ago
• wujian16 / Cornell-MOE
  A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
  ☆269Updated 5 years ago
• ebonilla / AutoGP
  Code for AutoGP
  ☆26Updated 5 years ago
• zi-w / Ensemble-Bayesian-Optimization
  Code repository for Ensemble Bayesian Optimization
  ☆53Updated 5 years ago
• QUVA-Lab / COMBO
  ☆51Updated 10 months ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 13 years ago
• oxfordcontrol / Bayesian-Optimization
  Reference implementation of Optimistic Expected Improvement.
  ☆50Updated 5 years ago
• sigopt / sigopt-python
  Simple Python interface for the SigOpt API
  ☆70Updated 2 months ago