wildtreetech / bayesian-optimisation

Related projects: ⓘ

• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 12 years ago
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 8 years ago
• cavaunpeu / gaussian-processes
  A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.
  ☆16Updated 6 years ago
• vlad17 / np-learn
  Jupyter notebook-post of advanced numpy techniques
  ☆58Updated 5 years ago
• diana-hep / carl
  Likelihood-free inference toolbox.
  ☆57Updated 7 years ago
• HHammond / kcbo
  A Bayesian testing framework written in Python.
  ☆95Updated 9 years ago
• yandexdataschool / MLatGradDays
  Course of Machine Learning in Science and Industry at Heidelberg university
  ☆47Updated 7 years ago
• fabianp / overview_optalgs
  ☆28Updated 4 years ago
• aflaxman / pymc-examples
  PyMC Example Notebooks
  ☆75Updated 10 years ago
• ebonilla / AutoGP
  Code for AutoGP
  ☆26Updated 5 years ago
• JackCaster / Intro_to_PyMC3
  Short introduction to Bayesian statistical modelling with PyMC3
  ☆18Updated 4 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago
• eriknw / dask-patternsearch
  Scalable pattern search optimization with dask
  ☆21Updated 7 years ago
• junpenglao / Bayesian-Cognitive-Modeling-in-Pymc3
  PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
  ☆96Updated 6 years ago
• johannbrehmer / simulator-mining-example
  Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…
  ☆33Updated 4 years ago
• HCsoft-RD / shaolin
  Data visualization and analysis library based on the pydata stack
  ☆19Updated 7 years ago
• balajiln / pgbart
  Particle Gibbs for Bayesian Additive Regression Trees
  ☆32Updated 9 years ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆121Updated 2 years ago
• peterjsadowski / lhc2015-dl-tutorial
  ☆10Updated 8 years ago
• mrocklin / dask-spark
  Dask and Spark interactions
  ☆21Updated 7 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆67Updated 5 years ago
• ColCarroll / carpo
  Run and time jupyter notebooks
  ☆12Updated last year
• sgubianpm / sdaopt
  Simulated Dual Annealing for python and benchmarks
  ☆15Updated 5 years ago
• mrocklin / dask-workshop
  ☆28Updated 7 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 7 years ago
• rasbt / math-for-machinelearning
  ☆21Updated this week
• yandexdataschool / mlhep2015
  MLHEP 2015 materials (http://hse.ru/mlhep2015)
  ☆19Updated 9 years ago
• glouppe / notebooks
  Random fiddling stored in notebooks
  ☆22Updated 7 years ago