Alternatives and similar repositories for transfer-hpo-framework:

Users that are interested in transfer-hpo-framework are comparing it to the libraries listed below

• machinelearningnuremberg / FSBO
  [ICLR 2021] Few Shot Bayesian Optimization
  ☆18Updated 2 years ago
• machinelearningnuremberg / HPO-B
  [NeurIPS DBT 2021] HPO-B
  ☆28Updated 6 months ago
• automl / PFNs4BO
  The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
  ☆24Updated 11 months ago
• LeoIV / BAxUS
  This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…
  ☆15Updated last year
• xingchenwan / Casmopolitan
  [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces
  ☆30Updated 2 years ago
• automl / LCBench
  A learning curve benchmark on OpenML data
  ☆30Updated 2 months ago
• boschresearch / MetaBO
  Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization
  ☆35Updated 4 years ago
• LamNgo1 / cma-meta-algorithm
  [TMLR' 24] High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy
  ☆17Updated 2 months ago
• aryandeshwal / HyBO
  ☆23Updated 2 years ago
• yucenli / bnn-bo
  Bayesian Neural Network Surrogates for Bayesian Optimization
  ☆48Updated 9 months ago
• automl / HPOBench
  Collection of hyperparameter optimization benchmark problems
  ☆145Updated 8 months ago
• automl / lcpfn
  ☆15Updated 4 months ago
• rubinxin / CoCaBO_code
  Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)
  ☆47Updated 5 years ago
• automl / ifBO
  In-context Bayesian Optimization
  ☆15Updated last month
• nabenabe0928 / tpe
  The tree-structured Parzen estimator (TPE) implementation and the simple running code for it
  ☆64Updated 3 months ago
• ltiao / bore
  Bayesian Optimization with Density-Ratio Estimation
  ☆23Updated 2 years ago
• slds-lmu / yahpo_gym
  Surrogate benchmarks for HPO problems
  ☆27Updated last week
• facebookresearch / morbo
  Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces
  ☆54Updated 2 years ago
• siddarthk97 / bonet
  ☆11Updated 2 years ago
• facebookresearch / qEUBO
  Reproducible code for paper "qEUBO A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization" from AISTATS 2023
  ☆22Updated last year
• yiminzme / awesome-bayesian-optimization
  a curated list of bayesian optimization tutorials, papers, softwares
  ☆28Updated 3 years ago
• automl / jahs_bench_201
  The first collection of surrogate benchmarks for Joint Architecture and Hyperparameter Search.
  ☆15Updated last year
• facebookresearch / robust_mobo
  Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"
  ☆53Updated 2 years ago
• jparkerholder / PB2
  Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.
  ☆20Updated 3 years ago
• lamda-bbo / MCTS-VS
  Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"
  ☆35Updated last year
• tennisonliu / LLAMBO
  Official Repository for LLAMBO "Large Language Models to Enhance Bayesian Optimization"
  ☆51Updated last month
• automl / CARP-S
  A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks.
  ☆11Updated this week
• shib0li / BMBO-DARN
  Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks
  ☆12Updated 3 years ago
• ruchtem / cosmos
  This is the official implementation for COSMOS: a method to learn Pareto fronts that scales to large datasets and deep models.
  ☆37Updated 3 years ago
• facebookresearch / bo_pr
  Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
  ☆72Updated 2 years ago