Alternatives and similar repositories for pydata_2018

Users that are interested in pydata_2018 are comparing it to the libraries listed below

• springcoil / probabilisticprogrammingprimer
  ☆91Updated 4 years ago
• sidravi1 / Blog
  ☆24Updated 4 years ago
• parsing-science / pymc3_quickstart_guide
  ☆80Updated 8 years ago
• corriebar / Bayesian-Workflow-with-PyMC
  Repository with code, notebook and slides for my talk at PyConDE & PyData Berlin 2019
  ☆36Updated 2 years ago
• yoonkanglow / Causal-Impact-Analysis-Demo
  ☆26Updated 7 years ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆127Updated 5 years ago
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆105Updated 6 years ago
• bertilhatt / pydata_pres_small_sample
  Tutorial for PyData London 2019 on AB Test by cluster
  ☆13Updated 5 years ago
• betanalpha / jupyter_case_studies
  Inference case studies in jupyter
  ☆93Updated 6 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆52Updated 3 years ago
• bwengals / pymc
  Probabilistic Programming in Python. Uses Theano as a backend, supports NUTS and ADVI.
  ☆9Updated 4 months ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 7 years ago
• natematias / research_in_python
  This repository includes all the data analyses I carry out for my general exams reading, Spring 2015
  ☆64Updated 10 years ago
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 7 years ago
• ericmjl / causality
  In which I play with the ideas surrounding causality
  ☆52Updated 2 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
• TeconomicsBlog / notebooks
  ☆97Updated 7 years 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 7 years ago
• AustinRochford / notebooks
  My Jupyter notebook server
  ☆19Updated 3 years ago
• gjreda / empirical-bayes-book-python
  Using Python to recreate the code and charts used throughout David Robinson's Introduction to Empirical Bayes
  ☆27Updated 7 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆50Updated 3 years ago
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 6 years ago
• mds47 / time-series-workshop
  ☆31Updated 6 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago
• juanitorduz / website_projects
  Repository containing the code of the projects presented in my personal website.
  ☆42Updated 2 weeks ago
• argmaxml / conjugate_prior
  Implementation of the conjugate prior table for Bayesian Statistics
  ☆52Updated 10 months ago
• thuijskens / thuijskens.github.io
  Repository for thuijskens.github.io
  ☆11Updated 2 years ago
• Vishwacorp / nyc_uber_forecasting
  Forecasting Uber demand in NYC neighborhoods
  ☆34Updated 7 years ago
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆99Updated last year