Alternatives and similar repositories for enar_2019_tutorial:

Users that are interested in enar_2019_tutorial are comparing it to the libraries listed below

• fonnesbeck / PyMC3_EUSS
  Course in Probabilistic Programming in Python for the 2018 EU Summer School
  ☆23Updated 6 years ago
• berkeley-stat159-f17 / stat159-f17
  Reproducible & Collaborative Data Science, Fall 2017 - Main class website
  ☆23Updated 7 years ago
• corriebar / PyLadies-Bayesian-Tutorial
  Material for the PyLadies Bayesian Tutorial, Feb 11, 2020
  ☆12Updated 2 years ago
• ColCarroll / carpo
  Run and time jupyter notebooks
  ☆12Updated last year
• jaidevd / scipy_pandas_tutorial
  Repository containing notebooks for my Pandas tutorial at SciPy India 2013
  ☆15Updated 5 years ago
• eafpres / time_series_analysis
  Review of time series using regression and neural network methods
  ☆33Updated 6 years ago
• pbstark / MX14
  Short course on nonparametric inference in auditing and litigation, XXIX Foro Internacional de Estadistica, Puebla, MX
  ☆15Updated 8 years ago
• pymc-learn / pymc-learn-book
  Book: Practical Probabilistic Machine Learning in Python
  ☆10Updated 4 years ago
• arviz-devs / EABM
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆20Updated last week
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 7 years ago
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 6 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆25Updated 5 years ago
• eggplantbren / STATS331
  Lecture notes for an introductory undergraduate course in Bayesian Inference
  ☆51Updated 2 weeks ago
• TomAugspurger / Greene_Econometrics
  ☆16Updated 11 years ago
• fonnesbeck / ngcm_pandas_2017
  Python data analysis course for 2017 NGCM Summer Academy
  ☆20Updated 7 years ago
• phobson / paramnormal
  Conventionally parameterized probability distributions
  ☆35Updated 6 months ago
• fonnesbeck / bayes_tutorial_2019
  Introductory overview of Bayesian inference
  ☆44Updated 5 years ago
• skeydan / timeseries_dlm_lstm
  timeseries prediction using dynamic linear models and LSTM
  ☆13Updated 7 years ago
• ljwolf / bayespatial
  spatial statistical/econometric modeling in pymc3 & stan
  ☆25Updated 3 years ago
• TomAugspurger / pydata-nyc-ph2t
  PyData NYC 2017: Pandas Head to Tail
  ☆57Updated 7 years ago
• bradleyfay / Causal-Inference-for-Data-Scientists
  Notebooks of Python and R code which illustrates basic causal inference using simulated data
  ☆23Updated 5 years ago
• isaacfab / rmetalog
  R package for the metalog probability distribution
  ☆35Updated 4 years ago
• ColCarroll / pydata_nyc2017
  Slides and materials for workshop on "Two views on regression with PyMC3 and scikit-learn"
  ☆19Updated 2 years ago
• twiecki / Bayesian-Modelling-in-Python
  A python tutorial on bayesian modeling techniques (PYMC3)
  ☆20Updated 9 years ago
• AustinRochford / notebooks
  My Jupyter notebook server
  ☆19Updated 3 years ago
• jfpuget / Tidy-Data
  Python code for Hadley Whickham's article on Tidy Data.
  ☆34Updated 8 years ago
• rgerkin / pystan-sklearn
  ☆32Updated 7 years ago
• pymc-devs / pymc-data-umbrella
  Website: Data Umbrella & PyMC open source sessions
  ☆26Updated 10 months ago
• deniederhut / Pandas-Tutorial-SciPyConf-2018
  ☆48Updated 6 years ago
• PhilChodrow / cos_2017
  Course materials for the ORC's 2017 IAP course, "Computing in Optimization and Statistics"
  ☆19Updated 7 years ago