Alternatives and similar repositories for pdLSR

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

• mrocklin / dask-workshop
  ☆28Updated 8 years ago
• minrk / condamagic
  %conda magic for IPython
  ☆28Updated 8 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 8 years ago
• dask / dask-glm
  ☆75Updated last year
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 9 years ago
• phobson / paramnormal
  Conventionally parameterized probability distributions
  ☆35Updated last year
• amueller / patsylearn
  Patsy Adaptors for Scikit-learn
  ☆48Updated 6 years ago
• fonnesbeck / PyMC3_EUSS
  Course in Probabilistic Programming in Python for the 2018 EU Summer School
  ☆23Updated 7 years ago
• HHammond / kcbo
  A Bayesian testing framework written in Python.
  ☆94Updated 10 years ago
• AllenDowney / BayesSeminar
  Bayesian statistics seminars
  ☆30Updated 8 years ago
• fonnesbeck / scipy2015_tutorial
  Computational Statistics II Tutorial at SciPy 2015
  ☆48Updated 10 years ago
• jakevdp / cython_template
  Package template for a project using Cython
  ☆58Updated 9 years ago
• dask / old-dask-examples
  Collection of dask example notebooks
  ☆57Updated 7 years ago
• TomAugspurger / mtg
  Materials for my talk at PyData Chicago 2016
  ☆20Updated 8 years ago
• ColCarroll / sampled
  Decorator for PyMC3
  ☆50Updated 4 years ago
• captainsafia / notebook-toc
  A Jupyter Notebook extension for generating a table of contents at the top of a notebook
  ☆27Updated 9 years ago
• ioam / jupytercon2017-holoviews-tutorial
  HoloViews+Bokeh tutorial for JupyterCon 2017
  ☆51Updated 2 years ago
• jseabold / pandas-selectable
  A `select` accessor for easier subsetting of pandas DataFrames and Series
  ☆34Updated 2 years ago
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆97Updated 3 months ago
• jcrist / ptime
  IPython magic for parallel profiling (like `%time`, but parallel)
  ☆72Updated 8 years ago
• cavaunpeu / gaussian-processes
  A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.
  ☆16Updated 7 years ago
• HCsoft-RD / shaolin
  Data visualization and analysis library based on the pydata stack
  ☆19Updated 8 years ago
• jupyter / dashboards_bundlers
  [RETIRED] Converts a notebook to a dashboard and deploys it / downloads it
  ☆79Updated 8 years ago
• jupyter / ngcm-tutorial
  Materials for the IPython/Jupyter workshop at the NGCM Summer Academy, at Southampton University, Boldrewood campus.
  ☆47Updated 7 years ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 13 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 6 years ago
• twiecki / pydata_ninja
  The Path of the PyData Ninja
  ☆16Updated 10 years ago
• ioam / paramnb
  Generate ipywidgets from Parameterized objects in the notebook
  ☆35Updated 5 years ago
• msmbuilder / osprey
  🦅Hyperparameter optimization for machine learning pipelines 🦅
  ☆73Updated 4 years ago
• pbstark / MX14
  Short course on nonparametric inference in auditing and litigation, XXIX Foro Internacional de Estadistica, Puebla, MX
  ☆15Updated 8 years ago