Alternatives and similar repositories for yahpo_gym:

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

• automl / PFNs4BO
  The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
  ☆26Updated last year
• machinelearningnuremberg / HPO-B
  [NeurIPS DBT 2021] HPO-B
  ☆30Updated 2 weeks ago
• automl / LCBench
  A learning curve benchmark on OpenML data
  ☆30Updated 5 months ago
• geoalgo / slurmpilot
  Launching and monitoring Slurm experiments in Python
  ☆18Updated last month
• automl / lcpfn
  ☆17Updated 6 months ago
• machinelearningnuremberg / FSBO
  [ICLR 2021] Few Shot Bayesian Optimization
  ☆19Updated 2 years ago
• automl / HPOBench
  Collection of hyperparameter optimization benchmark problems
  ☆146Updated last month
• machinelearningnuremberg / DyHPO
  [NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations
  ☆12Updated 2 years ago
• automl / DEHB
  ☆79Updated last week
• automl / ifBO
  In-context Bayesian Optimization
  ☆16Updated this week
• machinelearningnuremberg / DeepPipe
  [KDD 2023] Deep Pipeline Embeddings for AutoML
  ☆16Updated 5 months ago
• uber / bayesmark
  Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
  ☆145Updated 3 years ago
• automl / transfer-hpo-framework
  Code accompanying https://arxiv.org/abs/1802.02219
  ☆17Updated 2 years ago
• automl / pybnn
  Bayesian neural network package
  ☆147Updated 3 years ago
• automl / DeepCAVE
  An interactive framework to visualize and analyze your AutoML process in real-time.
  ☆87Updated last week
• yucenli / bnn-bo
  Bayesian Neural Network Surrogates for Bayesian Optimization
  ☆50Updated 11 months ago
• zi-w / Ensemble-Bayesian-Optimization
  Code repository for Ensemble Bayesian Optimization
  ☆52Updated 5 years ago
• automl / CARP-S
  A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks.
  ☆11Updated this week
• ltiao / bore
  Bayesian Optimization with Density-Ratio Estimation
  ☆23Updated 2 years ago
• luxusg1 / metabu
  ☆14Updated 2 years ago
• machinelearningnuremberg / DeepRankingEnsembles
  [ICLR 2023] Deep Ranking Ensembles for Hyperparameter Optimization
  ☆14Updated last year
• xingchenwan / Casmopolitan
  [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces
  ☆30Updated 2 years ago
• automl / neps
  Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.
  ☆74Updated this week
• aryandeshwal / HyBO
  ☆24Updated 2 years ago
• machinelearningnuremberg / DPL
  [NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benc…
  ☆16Updated last year
• ksehic / LassoBench
  Benchmark library for high-dimensional HPO of black-box models based on Weighted Lasso regression
  ☆12Updated 2 years ago
• ratschlab / bnn_priors
  Code for the paper "Bayesian Neural Network Priors Revisited"
  ☆57Updated 3 years ago
• automl / jahs_bench_201
  The first collection of surrogate benchmarks for Joint Architecture and Hyperparameter Search.
  ☆15Updated 2 years ago
• maxc01 / addtree
  AISTATS2020 Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization
  ☆8Updated 5 months ago
• google-research / hyperbo
  Pre-trained Gaussian processes for Bayesian optimization
  ☆90Updated 2 weeks ago