automl / BOAH

Related projects ⓘ

Alternatives and complementary repositories for BOAH

• automl / CAVE
  [deprecated] Configuration Assessment, Visualization and Evaluation
  ☆46Updated 2 years ago
• rdturnermtl / bbo_challenge_starter_kit
  Starter kit for the black box optimization challenge at Neurips 2020
  ☆113Updated 4 years ago
• automl / HPOlib1.5
  ☆69Updated 4 years ago
• uber / bayesmark
  Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
  ☆142Updated 3 years ago
• automl / pybnn
  Bayesian neural network package
  ☆138Updated 3 years ago
• automl / fanova
  Functional ANOVA
  ☆122Updated 7 months ago
• automl / HPOBench
  Collection of hyperparameter optimization benchmark problems
  ☆139Updated 5 months ago
• zi-w / Ensemble-Bayesian-Optimization
  Code repository for Ensemble Bayesian Optimization
  ☆50Updated 5 years ago
• automl / LCBench
  A learning curve benchmark on OpenML data
  ☆30Updated 3 years ago
• ChangYong-Oh / HyperSphere
  ☆16Updated 5 years ago
• udellgroup / oboe
  An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
  ☆82Updated 3 years ago
• automl / DEHB
  ☆72Updated 3 months ago
• automl / ParameterImportance
  Parameter Importance Analysis Tool
  ☆76Updated 3 years ago
• wjmaddox / drbayes
  Code Repo for "Subspace Inference for Bayesian Deep Learning"
  ☆81Updated 5 months ago
• daxiongshu / rapids-ai-BBO-2nd-place-solution
  ☆71Updated 3 years ago
• automl / ConfigSpace
  Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.
  ☆204Updated 3 months ago
• aiwabdn / pygln
  Python implementation of GLN in different frameworks
  ☆95Updated 4 years ago
• QUVA-Lab / COMBO
  ☆47Updated 3 months ago
• kirthevasank / gp-parallel-ts
  Parallelised Thompson Sampling in GPs for Bayesian Optimisation
  ☆35Updated 7 years ago
• wujian16 / Cornell-MOE
  A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
  ☆261Updated 4 years ago
• ostamand / tensorflow-tabnet
  Improved TabNet for TensorFlow
  ☆51Updated 2 years ago
• sigopt / evalset
  Benchmark suite of test functions suitable for evaluating black-box optimization strategies
  ☆48Updated 5 months ago
• facebookresearch / SingleModelUncertainty
  Learning error bars for neural network predictions
  ☆68Updated 4 years ago
• PGM-Lab / InferPy
  InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
  ☆147Updated 3 months ago
• facebookresearch / alebo
  Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization
  ☆41Updated 3 years ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆75Updated 5 years ago
• openopt / chop
  CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
  ☆76Updated 8 months ago
• markm541374 / gpbo
  gpbo
  ☆25Updated 3 years ago
• openml-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆96Updated 2 months ago
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 3 years ago