Alternatives and similar repositories for CAVE

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

• automl / BOAH
  BOAH: Bayesian Optimization & Analysis of Hyperparameters
  ☆67Updated 5 years ago
• automl / fanova
  Functional ANOVA
  ☆124Updated 6 months ago
• automl / ConfigSpace
  Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.
  ☆214Updated 2 weeks ago
• automl / HPOlib1.5
  ☆69Updated 5 years ago
• rdturnermtl / bbo_challenge_starter_kit
  Starter kit for the black box optimization challenge at Neurips 2020
  ☆113Updated 5 years ago
• uber / bayesmark
  Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
  ☆154Updated 4 years ago
• automl / ParameterImportance
  Parameter Importance Analysis Tool
  ☆77Updated 4 years ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆76Updated 5 years ago
• automl / RoBO
  RoBO: a Robust Bayesian Optimization framework
  ☆491Updated 6 years ago
• udellgroup / oboe
  An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
  ☆84Updated 3 years ago
• automl / HpBandSter
  a distributed Hyperband implementation on Steroids
  ☆621Updated 2 years ago
• automl / HPOBench
  Collection of hyperparameter optimization benchmark problems
  ☆153Updated 4 months ago
• amore-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆100Updated last year
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆175Updated 2 years ago
• ili3p / HORD
  Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
  ☆115Updated 8 years ago
• uber-research / EvoGrad
  ☆182Updated last year
• josejimenezluna / pyGPGO
  Bayesian optimization for Python
  ☆246Updated 3 years ago
• sigopt / evalset
  Benchmark suite of test functions suitable for evaluating black-box optimization strategies
  ☆52Updated 4 months ago
• GPflow / GPflowOpt
  Bayesian Optimization using GPflow
  ☆272Updated 4 years ago
• automl / labwatch
  An extension to Sacred for automated hyperparameter optimization.
  ☆59Updated 7 years ago
• daxiongshu / rapids-ai-BBO-2nd-place-solution
  ☆71Updated 4 years ago
• genixpro / hypermax
  Better, faster hyper-parameter optimization
  ☆113Updated last year
• kirthevasank / nasbot
  Neural Architecture Search with Bayesian Optimisation and Optimal Transport
  ☆135Updated 6 years ago
• automl / DAC
  Dynamic Algorithm Configuration
  ☆19Updated 5 years ago
• automl / pybnn
  Bayesian neural network package
  ☆151Updated 4 years ago
• seba-1511 / randopt
  Streamlined machine learning experiment management.
  ☆107Updated 5 years ago
• AIworx-Labs / chocolate
  A fully decentralized hyperparameter optimization framework
  ☆124Updated last year
• MattKleinsmith / pbt
  Population Based Training (in PyTorch with sqlite3). Status: Unsupported
  ☆162Updated 7 years ago
• angusfung / population-based-training
  Reproducing results from DeepMind's paper on Population Based Training of Neural Networks.
  ☆55Updated 7 years ago
• microsoft / coax
  This project was moved to: https://github.com/coax-dev/coax
  ☆160Updated 2 years ago