Alternatives and similar repositories for ifBO:

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

• automl / PFNs4BO
  The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
  ☆26Updated last year
• automl / PFNs
  Our maintained PFN repository. Come here to train SOTA PFNs.
  ☆78Updated 3 weeks ago
• automl / neps
  Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.
  ☆72Updated this week
• automl / DeepCAVE
  An interactive framework to visualize and analyze your AutoML process in real-time.
  ☆87Updated this week
• machinelearningnuremberg / FSBO
  [ICLR 2021] Few Shot Bayesian Optimization
  ☆19Updated 2 years ago
• slds-lmu / yahpo_gym
  Surrogate benchmarks for HPO problems
  ☆27Updated 2 months ago
• microsoft / ticl
  Tabular In-Context Learning
  ☆55Updated last month
• geoalgo / slurmpilot
  Launching and monitoring Slurm experiments in Python
  ☆17Updated 2 weeks ago
• machinelearningnuremberg / DyHPO
  [NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations
  ☆12Updated last year
• automl / lcpfn
  ☆16Updated 6 months ago
• penfever / TuneTables
  TuneTables is a tabular classifier that implements prompt tuning for frozen prior-fitted networks.
  ☆18Updated 2 weeks ago
• machinelearningnuremberg / DeepRankingEnsembles
  [ICLR 2023] Deep Ranking Ensembles for Hyperparameter Optimization
  ☆14Updated last year
• lektor-lol / lektor-lol.github.io
  a minimal website to get the diff of llm rewrites
  ☆11Updated 4 months ago
• soda-inria / tabicl
  Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
  ☆35Updated last month
• machinelearningnuremberg / DeepPipe
  [KDD 2023] Deep Pipeline Embeddings for AutoML
  ☆16Updated 5 months ago
• automl / CARP-S
  A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks.
  ☆11Updated this week
• machinelearningnuremberg / HPO-B
  [NeurIPS DBT 2021] HPO-B
  ☆29Updated 8 months ago
• automl / LCBench
  A learning curve benchmark on OpenML data
  ☆30Updated 4 months ago
• tornede / py_experimenter
  The PyExperimenter is a tool for the automatic execution of experiments, e.g. for machine learning (ML), capturing corresponding results …
  ☆34Updated 2 months ago
• autogluon / tabrepo
  Compare and ensemble models without retraining
  ☆53Updated this week
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆84Updated 2 years ago
• automl / amltk
  A build-it-yourself AutoML Framework
  ☆71Updated 5 months ago
• yucenli / bnn-bo
  Bayesian Neural Network Surrogates for Bayesian Optimization
  ☆49Updated 11 months ago
• machinelearningnuremberg / DPL
  [NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benc…
  ☆15Updated last year
• automl / transfer-hpo-framework
  Code accompanying https://arxiv.org/abs/1802.02219
  ☆17Updated 2 years ago
• automl / DEHB
  ☆79Updated 8 months ago
• EtashGuha / R2CCP
  ☆22Updated last year
• yandex-research / tabred
  TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
  ☆68Updated 2 weeks ago
• facebookresearch / morbo
  Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces
  ☆54Updated 2 years ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆72Updated last year