Alternatives and similar repositories for mosaic_ml

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

• machinelearningnuremberg / DyHPO
  [NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations
  ☆13Updated 2 years ago
• jparkerholder / PB2
  Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.
  ☆20Updated 4 years ago
• automl / HPOBench
  Collection of hyperparameter optimization benchmark problems
  ☆148Updated last month
• automl / PFNs4BO
  The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
  ☆29Updated last year
• automl / LCBench
  A learning curve benchmark on OpenML data
  ☆30Updated 6 months ago
• automl / transfer-hpo-framework
  Code accompanying https://arxiv.org/abs/1802.02219
  ☆18Updated 2 years ago
• duanzhiihao / PyTorch_OLoptim
  A PyTorch implementation of various Online & Stochastic optimization algorithms for deep learning
  ☆27Updated 3 years ago
• machinelearningnuremberg / HPO-B
  [NeurIPS DBT 2021] HPO-B
  ☆32Updated 2 months 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
• automl / BOAH
  BOAH: Bayesian Optimization & Analysis of Hyperparameters
  ☆67Updated 5 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.
  ☆39Updated 4 years ago
• rsheth80 / pmf-automl
  Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.
  ☆39Updated 3 years ago
• aminnayebi / HesBO
  The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces
  ☆41Updated 6 years ago
• automl / DEHB
  ☆81Updated 2 months ago
• uber / bayesmark
  Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
  ☆148Updated 3 years ago
• slds-lmu / yahpo_gym
  Surrogate benchmarks for HPO problems
  ☆27Updated 3 weeks ago
• automl / ifBO
  In-context Bayesian Optimization
  ☆16Updated last month
• aryandeshwal / HyBO
  ☆22Updated 2 years ago
• eth-sri / probabilistic-forecasts-attacks
  ☆29Updated 2 years ago
• Aurelien-Pelissier / Feature-Selection-as-Reinforcement-Learning
  Bandit based Reinforcement Learning applied on Feature selection, a Monte Carlo search tree algorithm is trained to find the best feature…
  ☆21Updated 3 years ago
• tushuhei / gpucb
  Simple implementation of GP-UCB algorithm.
  ☆52Updated 8 years ago
• AvivNavon / pareto-hypernetworks
  Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]
  ☆105Updated 3 years ago
• thanhnguyentang / offline_neural_bandits
  An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…
  ☆14Updated 3 years ago
• dbmptr / EPOSearch
  Exact Pareto Optimal solutions for preference based Multi-Objective Optimization
  ☆65Updated 3 years ago
• facebookresearch / qEUBO
  Reproducible code for paper "qEUBO A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization" from AISTATS 2023
  ☆22Updated 2 years ago
• machinelearningnuremberg / FSBO
  [ICLR 2021] Few Shot Bayesian Optimization
  ☆20Updated 2 years ago
• j-wilson / MaximizingAcquisitionFunctions
  Code for "Maximizing Acquisition Functions for Bayesian Optimization"
  ☆13Updated 6 years ago
• softsys4ai / FlexiBO
  FlexiBO: Cost-Aware Multi-Objective Optimization of Deep Neural Networks
  ☆14Updated 2 years ago
• uclaml / NeuralUCB
  ☆34Updated 4 years ago
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆86Updated 2 years ago