Alternatives and similar repositories for HPOBench

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

• automl / DEHB
  ☆90Updated 8 months ago
• uber / bayesmark
  Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
  ☆157Updated 4 years ago
• automl / DeepCAVE
  An interactive framework to visualize and analyze your AutoML process in real-time.
  ☆94Updated last month
• slds-lmu / yahpo_gym
  Surrogate benchmarks for HPO problems
  ☆29Updated 7 months ago
• machinelearningnuremberg / HPO-B
  [NeurIPS DBT 2021] HPO-B
  ☆41Updated 2 months ago
• uber-research / TuRBO
  ☆219Updated last year
• automl / pybnn
  Bayesian neural network package
  ☆154Updated 4 years ago
• rubinxin / CoCaBO_code
  Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)
  ☆52Updated 6 years ago
• automl / PFNs4BO
  The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
  ☆37Updated 3 months ago
• xingchenwan / Casmopolitan
  [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces
  ☆33Updated 2 years ago
• automl / LCBench
  A learning curve benchmark on OpenML data
  ☆32Updated last year
• automl / BOAH
  BOAH: Bayesian Optimization & Analysis of Hyperparameters
  ☆67Updated 5 years ago
• automl / transfer-hpo-framework
  Code accompanying https://arxiv.org/abs/1802.02219
  ☆19Updated 3 years ago
• zi-w / Ensemble-Bayesian-Optimization
  Code repository for Ensemble Bayesian Optimization
  ☆56Updated 6 years ago
• kirschnj / LineBO
  ☆19Updated 3 years ago
• machinelearningnuremberg / FSBO
  [ICLR 2021] Few Shot Bayesian Optimization
  ☆22Updated 3 years ago
• google-research / hyperbo
  Pre-trained Gaussian processes for Bayesian optimization
  ☆99Updated 9 months ago
• facebookresearch / bo_pr
  Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
  ☆76Updated 3 years ago
• facebookresearch / morbo
  Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces
  ☆67Updated 3 years ago
• automl / TransformersCanDoBayesianInference
  Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper
  ☆247Updated last year
• automl / neps
  Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.
  ☆78Updated last week
• aryandeshwal / HyBO
  ☆23Updated 3 years ago
• facebookresearch / alebo
  Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization
  ☆42Updated 4 years ago
• AvivNavon / pareto-hypernetworks
  Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]
  ☆105Updated 3 years ago
• machinelearningnuremberg / DyHPO
  [NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations
  ☆13Updated 2 years ago
• automl / ConfigSpace
  Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.
  ☆218Updated last week
• SamuelGabriel / PFNs
  Our maintained PFN repository. Come here to train SOTA PFNs.
  ☆126Updated 3 months ago
• aminnayebi / HesBO
  The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces
  ☆43Updated 6 years ago
• Evolutionary-Intelligence / pypop
  [JMLR (CCF-A)] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* algorithm varian…
  ☆273Updated this week
• rdturnermtl / bbo_challenge_starter_kit
  Starter kit for the black box optimization challenge at Neurips 2020
  ☆115Updated 5 years ago