Alternatives and similar repositories for DEHB

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

• automl / HPOBench
  Collection of hyperparameter optimization benchmark problems
  ☆153Updated 3 months ago
• automl / DeepCAVE
  An interactive framework to visualize and analyze your AutoML process in real-time.
  ☆89Updated this week
• slds-lmu / yahpo_gym
  Surrogate benchmarks for HPO problems
  ☆27Updated 3 months ago
• uber / bayesmark
  Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
  ☆153Updated 4 years ago
• automl / LCBench
  A learning curve benchmark on OpenML data
  ☆30Updated 8 months ago
• google-research / hyperbo
  Pre-trained Gaussian processes for Bayesian optimization
  ☆95Updated 4 months ago
• automl / PFNs4BO
  The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
  ☆32Updated last year
• uber-research / TuRBO
  ☆203Updated last year
• automl / neps
  Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.
  ☆77Updated this week
• geoalgo / slurmpilot
  Launching and monitoring Slurm experiments in Python
  ☆20Updated 2 weeks ago
• deephyper / deephyper
  DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning
  ☆296Updated last week
• xingchenwan / Casmopolitan
  [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces
  ☆30Updated 2 years ago
• automl / BOAH
  BOAH: Bayesian Optimization & Analysis of Hyperparameters
  ☆67Updated 5 years ago
• automl / zero-shot-automl-with-pretrained-models
  Official repository for the paper "Zero-Shot AutoML with Pretrained Models"
  ☆47Updated last year
• machinelearningnuremberg / HPO-B
  [NeurIPS DBT 2021] HPO-B
  ☆36Updated 3 weeks ago
• automl / pybnn
  Bayesian neural network package
  ☆151Updated 4 years ago
• EvoConJP / CMA-ES_with_Margin
  (GECCO 2022) CMA-ES with Margin: Lower-Bounding Marginal Probability for Mixed-Integer Black-Box Optimization
  ☆31Updated last year
• CWI-EvolutionaryIntelligence / GOMEA
  Library for optimization with the model-based evolutionary algorithm GOMEA (Gene-pool Optimal Mixing Evolutionary Algorithm)
  ☆22Updated last month
• AvivNavon / pareto-hypernetworks
  Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]
  ☆104Updated 3 years ago
• rdturnermtl / bbo_challenge_starter_kit
  Starter kit for the black box optimization challenge at Neurips 2020
  ☆113Updated 4 years ago
• rubinxin / CoCaBO_code
  Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)
  ☆51Updated 6 years ago
• openopt / chop
  CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
  ☆78Updated last year
• amore-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆99Updated 11 months ago
• facebookresearch / bo_pr
  Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
  ☆73Updated 2 years ago
• automl / PFNs
  Our maintained PFN repository. Come here to train SOTA PFNs.
  ☆102Updated 2 weeks ago
• google-deepmind / enn
  ☆312Updated 5 months ago
• machinelearningnuremberg / DyHPO
  [NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations
  ☆13Updated 2 years ago
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• automl / DAC
  Dynamic Algorithm Configuration
  ☆19Updated 5 years ago
• luxusg1 / metabu
  ☆14Updated 3 years ago