Alternatives and similar repositories for Bayesian_Smoothing_EyeMovement

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

• hammerlab / survivalstan
  Library of Stan Models for Survival Analysis
  ☆124Updated 5 years ago
• junpenglao / GLMM-in-Python
  Generalized linear mixed-effect model in Python
  ☆183Updated 7 years ago
• junpenglao / All-that-likelihood-with-PyMC3
  ☆73Updated 7 years ago
• fonnesbeck / stan_workshop_2016
  Bayesian Modeling using Stan in R (May/June 2016)
  ☆54Updated 9 years ago
• jonsedar / pymc3_vs_pystan
  Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…
  ☆127Updated 9 years ago
• fonnesbeck / multilevel_modeling
  Tutorial on multilevel modeling, using Gelman radon example
  ☆58Updated 10 years ago
• bikestra / bdapy
  Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python
  ☆45Updated 10 years ago
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 7 years ago
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆97Updated 8 months ago
• junpenglao / Planet_Sakaar_Data_Science
  A colourful collection of codes and notebooks, like Planet Sakaar
  ☆55Updated 2 years ago
• jeffalstott / pystan_time_series
  Basic time series modeling with Stan and Pystan
  ☆33Updated 8 years ago
• sidravi1 / Blog
  ☆24Updated 5 years ago
• hammerlab / stanity
  python convenience functions for working with Stan models (via pystan)
  ☆13Updated 8 years ago
• strawlab / best
  Bayesian estimation supersedes the t test
  ☆145Updated 4 years ago
• usnistgov / pmml_pymcBN
  ☆41Updated 7 years ago
• betanalpha / jupyter_case_studies
  Inference case studies in jupyter
  ☆93Updated 7 years ago
• bambinos / educational-resources
  Educational resources
  ☆105Updated 4 years ago
• AustinRochford / notebooks
  My Jupyter notebook server
  ☆19Updated 3 years ago
• madrury / py-glm
  Generalized Linear Models in Sklearn Style
  ☆131Updated 5 years ago
• amueller / patsylearn
  Patsy Adaptors for Scikit-learn
  ☆48Updated 6 years ago
• bambinos / formulae
  Formulas for mixed-effects models in Python
  ☆64Updated 2 weeks ago
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆96Updated last year
• ColCarroll / sampled
  Decorator for PyMC3
  ☆50Updated 4 years ago
• corriebar / Bayesian-Workflow-with-PyMC
  Repository with code, notebook and slides for my talk at PyConDE & PyData Berlin 2019
  ☆37Updated 3 years ago
• parsing-science / pymc3_models
  ☆160Updated 3 years ago
• parsing-science / pymc3_quickstart_guide
  ☆80Updated 9 years ago
• cgevans / scikits-bootstrap
  Python/numpy bootstrap confidence interval estimation.
  ☆179Updated 5 months ago
• jhoupt / DBDA2Estan
  Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition
  ☆68Updated 8 years ago
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 7 years ago
• stappit / bayesian-data-analysis
  Berlin Bayesians' solutions to Bayesian Data Analysis, 3rd edition.
  ☆21Updated 6 years ago