Alternatives and similar repositories for tutmom

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

• mmckerns / tuthpc
  Tutorial on "Efficient Python for High-Performance Computing"
  ☆121Updated 9 months ago
• kwmsmith / scipy-2017-cython-tutorial
  Material for the SciPy 2017 Cython tutorial
  ☆143Updated 8 years ago
• pydata / parallel-tutorial
  Parallel computing in Python tutorial materials
  ☆309Updated 6 years ago
• twiecki / WhileMyMCMCGentlySamples
  my blog
  ☆269Updated 3 years ago
• fchollet / nelder-mead
  Pure Python/Numpy implementation of the Nelder-Mead algorithm.
  ☆126Updated 4 years ago
• CamDavidsonPilon / Python-Numerics
  Numerical machines in Python
  ☆94Updated 11 years ago
• fonnesbeck / scipy2014_tutorial
  Tutorial: Bayesian Statistical Analysis in Python
  ☆321Updated 6 years ago
• CamDavidsonPilon / PyProcess
  Generate stochastic processes using Python. Unfortunately not maintained any longer =(
  ☆111Updated 10 years ago
• gforsyth / numba_tutorial_scipy2017
  ☆145Updated 4 years ago
• cliburn / sta-663-2018
  ☆74Updated 6 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago
• AllenDowney / CompStats
  Code for a workshop on statistical interference using computational methods in Python.
  ☆226Updated 4 years ago
• parsing-science / pymc3_quickstart_guide
  ☆80Updated 9 years ago
• AllenDowney / BayesMadeSimple
  Code for a tutorial on Bayesian Statistics by Allen Downey.
  ☆357Updated 5 years ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆123Updated 3 years ago
• SheffieldML / notebook
  Collection of jupyter notebooks for demonstrating software.
  ☆169Updated 2 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆232Updated 4 years ago
• parsing-science / pymc3_models
  ☆159Updated 3 years ago
• andim / noisyopt
  Python library for optimizing noisy functions.
  ☆88Updated last month
• scikit-learn-contrib / py-earth
  A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines
  ☆467Updated 2 years ago
• ibab / python-mle
  A Python package for performing Maximum Likelihood Estimates
  ☆128Updated 5 years ago
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 7 years ago
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆160Updated 5 years ago
• fonnesbeck / Bayes_Computing_Course
  ☆232Updated 4 years ago
• fonnesbeck / intro_stat_modeling_2017
  Introduction to Statistical Modeling with Python (PyCon 2017)
  ☆169Updated 5 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…
  ☆127Updated 9 years ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆127Updated 5 years ago
• uqfoundation / mystic
  constrained nonlinear optimization for scientific machine learning, UQ, and AI
  ☆488Updated 3 weeks ago
• cvxgrp / cvx_short_course
  Materials for a short course on convex optimization.
  ☆353Updated 2 months ago
• mwcraig / scipy2017-jupyter-widgets-tutorial
  Notebooks for the SciPy 2017 tutorial "The Jupyter Interactive Widget Ecosystem"
  ☆107Updated 7 years ago