Alternatives and similar repositories for working_ml:

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

• springcoil / probabilisticprogrammingprimer
  ☆90Updated 4 years ago
• AustinRochford / notebooks
  My Jupyter notebook server
  ☆19Updated 3 years ago
• betanalpha / jupyter_case_studies
  Inference case studies in jupyter
  ☆93Updated 6 years ago
• GalvanizeOpenSource / probabilistic-programming-intro
  ☆24Updated 7 years ago
• TomAugspurger / pydata-nyc-ph2t
  PyData NYC 2017: Pandas Head to Tail
  ☆57Updated 7 years ago
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆98Updated 7 years ago
• bob-carpenter / comp-inference-reading
  Home for the computational inference reading group.
  ☆17Updated 5 years ago
• pbstark / MX14
  Short course on nonparametric inference in auditing and litigation, XXIX Foro Internacional de Estadistica, Puebla, MX
  ☆15Updated 8 years ago
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 6 years ago
• harvard-ml-courses / cs181-lectures
  ☆38Updated 6 years ago
• khakieconomics / MSW
  Files for Modern Statistical Workflow workshop
  ☆10Updated 8 years ago
• fonnesbeck / PyMC3_EUSS
  Course in Probabilistic Programming in Python for the 2018 EU Summer School
  ☆23Updated 6 years ago
• rgerkin / pystan-sklearn
  ☆32Updated 7 years ago
• jdwilson4 / Regression-Analysis
  This is the course website for MSAN 601: "Linear Regression Analysis" at the University of San Francisco. Assignments, lecture notes, and…
  ☆19Updated 7 years ago
• ArthurSpirling / Text-as-Data-Class-Spring-2018-
  Lectures from my DS Text as Data course offered in Spring 2018.
  ☆77Updated 3 years ago
• vlad17 / np-learn
  Jupyter notebook-post of advanced numpy techniques
  ☆58Updated 6 years ago
• nanw16 / RstanWorkflow
  We would like create Bayesian workflows following "A quick-start introduction to Stan for economists" by Jim Savage for all example model…
  ☆16Updated 7 years ago
• JackCaster / Intro_to_PyMC3
  Short introduction to Bayesian statistical modelling with PyMC3
  ☆18Updated 5 years ago
• QuantEcon / QuantEcon.notebooks
  Jupyter notebooks contributed by QuantEcon developers, users and the community
  ☆123Updated last year
• Dpananos / Retail-Churn
  Modelling retail churn non-parametrically
  ☆18Updated 6 years ago
• johnmyleswhite / room_temperatures
  Dataset of temperatures in 6 rooms of my home recorded once per minute
  ☆16Updated 6 years ago
• szilard / GBM-tune
  Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions
  ☆21Updated 7 years ago
• georgeberry / causal-inference-intro
  A short introduction to causal inference
  ☆28Updated 6 years ago
• MPEDS / mpeds-coder
  MPEDS Annotation Interface
  ☆18Updated 2 years ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 7 years ago
• TomAugspurger / Greene_Econometrics
  ☆16Updated 11 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
• dcdlwg / stanford_cs224d
  Repo containing problem set solutions and other resources associated with Stanford’s course CS224d: Deep Learning for Natural Language Pr…
  ☆15Updated 8 years ago
• moocarme / pydata_2018
  Repo for PyData 2018 tuorial
  ☆12Updated 6 years ago
• seantalts / simulation-based-calibration
  Repo for code from the SBC paper
  ☆24Updated 6 years ago