Alternatives and similar repositories for covid19

Users that are interested in covid19 are comparing it to the libraries listed below

• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆126Updated 5 years ago
• betanalpha / jupyter_case_studies
  Inference case studies in jupyter
  ☆93Updated 6 years ago
• springcoil / probabilisticprogrammingprimer
  ☆90Updated 4 years ago
• parsing-science / pymc3_models
  ☆158Updated 2 years ago
• fonnesbeck / Bayes_Computing_Course
  ☆231Updated 3 years ago
• luke14free / pm-prophet
  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
  ☆327Updated 4 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆228Updated 4 years ago
• dimenwarper / chainlearn
  Mini module with syntax sugar for pandas/sklearn
  ☆107Updated 4 years ago
• junpenglao / All-that-likelihood-with-PyMC3
  ☆72Updated 6 years ago
• CamDavidsonPilon / lifelike
  WIP predicted survival functions
  ☆37Updated 5 years ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated last year
• junpenglao / Planet_Sakaar_Data_Science
  A colourful collection of codes and notebooks, like Planet Sakaar
  ☆55Updated 2 years ago
• junpenglao / advance-bayesian-modelling-with-PyMC3
  ☆240Updated 6 years ago
• hammerlab / survivalstan
  Library of Stan Models for Survival Analysis
  ☆124Updated 4 years ago
• ksachdeva / rethinking-tensorflow-probability
  Statistical Rethinking (2nd Ed) with Tensorflow Probability
  ☆271Updated 3 years ago
• ericmjl / bayesian-deep-learning-demystified
  In which I try to demystify the fundamental concepts behind Bayesian deep learning.
  ☆123Updated 7 years ago
• twiecki / Bayesian-Modelling-in-Python
  A python tutorial on bayesian modeling techniques (PYMC3)
  ☆20Updated 9 years ago
• parsing-science / pymc3_quickstart_guide
  ☆80Updated 8 years ago
• Priesemann-Group / covid19_inference
  Bayesian python toolbox for inference and forecast of the spread of the Coronavirus
  ☆73Updated last year
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆159Updated 5 years ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 7 years ago
• AustinRochford / webmc3
  A web interface for exploring PyMC3 traces
  ☆46Updated 7 years ago
• SoftMatterGroupCambridge / pyross
  PyRoss: inference, forecasts, and optimised control of epidemiological models in Python. github.com/rajeshrinet/pyross
  ☆168Updated 9 months ago
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆99Updated last year
• corriebar / Bayesian-Workflow-with-PyMC
  Repository with code, notebook and slides for my talk at PyConDE & PyData Berlin 2019
  ☆36Updated 2 years ago
• fonnesbeck / intro_stat_modeling_2017
  Introduction to Statistical Modeling with Python (PyCon 2017)
  ☆166Updated 4 years ago
• sudharshan-ashok / pycovid
  Python package to easily access the most updated Coronavirus data using Python/PIP
  ☆59Updated 5 years ago
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 7 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…
  ☆128Updated 9 years ago
• vinayprabhu / Network_Science_Meets_Deep_Learning
  Designing Deep neural network architectures using topologies from the world of Complex Networks/network Science
  ☆91Updated 6 years ago