Alternatives and similar repositories for post--bayesian-optimization

Users that are interested in post--bayesian-optimization are comparing it to the libraries listed below

• lawrennd / old_talks
  Talks from Neil Lawrence
  ☆54Updated 2 years ago
• datasailors / bayesian_calibration
  Bayesian calibration using Tensorflow Probability
  ☆35Updated 7 years ago
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 3 years ago
• TorchUQ / torchuq
  A library for uncertainty quantification based on PyTorch
  ☆121Updated 4 years ago
• automl / BOAH
  BOAH: Bayesian Optimization & Analysis of Hyperparameters
  ☆67Updated 5 years ago
• rdturnermtl / bbo_challenge_starter_kit
  Starter kit for the black box optimization challenge at Neurips 2020
  ☆115Updated 5 years ago
• josejimenezluna / pyGPGO
  Bayesian optimization for Python
  ☆246Updated 3 years ago
• automl / pybnn
  Bayesian neural network package
  ☆155Updated 4 years ago
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆177Updated 3 years ago
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 4 years ago
• zhulingchen / tfp-tutorial
  TensorFlow Probability Tutorial
  ☆38Updated 6 years ago
• RobertTLange / code-and-blog
  Some small scale experiments for my blog posts 📝
  ☆80Updated 3 years ago
• idelbrid / Randomly-Projected-Additive-GPs
  Code for Randomly Projected Additive Gaussian Processes
  ☆25Updated 6 years ago
• ulissigroup / uncertainty_benchmarking
  Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.
  ☆42Updated 4 years ago
• abdulfatir / sampling-methods-numpy
  This repository contains implementations of some basic sampling methods in numpy.
  ☆67Updated 5 years ago
• AxelThevenot / Python_Benchmark_Test_Optimization_Function_Single_Objective
  ☆87Updated 3 years ago
• tensorchiefs / dl_book
  legend
  ☆209Updated 2 years ago
• ritchieng / eigenvectors-from-eigenvalues
  PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.
  ☆98Updated 4 years ago
• ivannz / mlss2019-bayesian-deep-learning
  MLSS2019 Tutorial on Bayesian Deep Learning
  ☆93Updated 6 years ago
• Ryan-Rhys / Heteroscedastic-BO
  Heteroscedastic Bayesian Optimisation in Numpy
  ☆22Updated 2 years ago
• rubinxin / CoCaBO_code
  Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)
  ☆53Updated 6 years ago
• theevann / dl4sci-pytorch-webinar
  ☆56Updated 5 years ago
• twhughes / Symbolic-Regression
  predicting equations from raw data with deep learning
  ☆57Updated 7 years ago
• QUVA-Lab / COMBO
  ☆50Updated last year
• willieneis / bayesian-algorithm-execution
  Bayesian algorithm execution (BAX)
  ☆55Updated 4 years ago
• facebookresearch / robust_mobo
  Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"
  ☆57Updated 3 years ago
• facebookresearch / bo_pr
  Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
  ☆76Updated 3 years ago
• OxfordML / bayesquad
  Library for Bayesian Quadrature
  ☆32Updated 6 years ago
• jmetzen / bayesian_optimization
  Bayesian optimization
  ☆38Updated 6 years ago
• probabilisticai / probai-2019
  Materials of the Nordic Probabilistic AI School 2019.
  ☆130Updated 5 years ago