Alternatives and similar repositories for FSBO:

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

• machinelearningnuremberg / HPO-B
  [NeurIPS DBT 2021] HPO-B
  ☆30Updated 2 weeks ago
• automl / PFNs4BO
  The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
  ☆26Updated last year
• machinelearningnuremberg / DyHPO
  [NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations
  ☆12Updated 2 years ago
• machinelearningnuremberg / DeepRankingEnsembles
  [ICLR 2023] Deep Ranking Ensembles for Hyperparameter Optimization
  ☆14Updated last year
• automl / transfer-hpo-framework
  Code accompanying https://arxiv.org/abs/1802.02219
  ☆18Updated 2 years ago
• LeoIV / BAxUS
  This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…
  ☆16Updated last year
• machinelearningnuremberg / DeepPipe
  [KDD 2023] Deep Pipeline Embeddings for AutoML
  ☆16Updated 5 months ago
• automl / ifBO
  In-context Bayesian Optimization
  ☆16Updated last week
• lamda-bbo / offline-moo
  Official implementation of ICML'24 paper "Offline Multi-Objective Optimization".
  ☆19Updated 6 months ago
• xingchenwan / Casmopolitan
  [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces
  ☆30Updated 2 years ago
• LeoIV / bounce
  Code for the paper "Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces"
  ☆11Updated last year
• siddarthk97 / bonet
  ☆11Updated 2 years ago
• automl / CARP-S
  A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks.
  ☆12Updated last week
• 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
• automl / LCBench
  A learning curve benchmark on OpenML data
  ☆30Updated 5 months ago
• slds-lmu / yahpo_gym
  Surrogate benchmarks for HPO problems
  ☆27Updated 3 months ago
• yucenli / bnn-bo
  Bayesian Neural Network Surrogates for Bayesian Optimization
  ☆50Updated last year
• aryandeshwal / HyBO
  ☆24Updated 2 years ago
• kaist-silab / design-baselines-fixes
  Baselines for Model-Based Optimization installation fixes and compatible with newer AMPERE+ GPUs (e.g. 3090)
  ☆11Updated 2 years ago
• boschresearch / MetaBO
  Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization
  ☆35Updated 5 years ago
• LamNgo1 / cma-meta-algorithm
  [TMLR' 24] High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy
  ☆20Updated 4 months ago
• automl / jahs_bench_201
  The first collection of surrogate benchmarks for Joint Architecture and Hyperparameter Search.
  ☆15Updated 2 years ago
• shib0li / BMBO-DARN
  Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks
  ☆12Updated 3 years ago
• automl / HW-GPT-Bench
  HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models
  ☆19Updated 5 months ago
• facebookresearch / morbo
  Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces
  ☆54Updated 2 years ago
• automl / lcpfn
  ☆17Updated 6 months ago
• automl / HPOBench
  Collection of hyperparameter optimization benchmark problems
  ☆146Updated last month
• machinelearningnuremberg / QuickTune
  [ICLR2024] Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
  ☆32Updated 5 months ago
• ntienvu / KnownOptimum_BO
  Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization
  ☆15Updated 2 years ago
• jparkerholder / PB2
  Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.
  ☆20Updated 4 years ago