Alternatives and similar repositories for DavisSML

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

• resteorts / modern-bayes
  Modern Bayesian statistics, STA 360/602, Duke University, Department of Statistical Science
  ☆74Updated 2 years ago
• TZstatsADS / ADS_Teaching
  Teaching repo for Applied Data Science @ Columbia, a project-based course for data science skills (statistical thinking, machine learning…
  ☆184Updated last year
• jayelm / hoff-bayesian-statistics
  R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"
  ☆128Updated 5 years ago
• caojiguo / FDAcourse2019
  Slides and R codes for Functional Data Analysis Course
  ☆95Updated 5 years ago
• solevillar / Inference_and_Representation
  ☆22Updated 5 years ago
• mattiasvillani / BayesLearnCourse
  Bayesian Learning course at Stockholm University
  ☆153Updated last year
• ryantibs / best-subset
  Comparisons between best subset selection and other popular sparse regression estimators
  ☆86Updated last year
• JWarmenhoven / DBDA-python
  Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
  ☆683Updated 3 years ago
• talwarabhimanyu / my-solutions-The-Elements-of-Statistical-Learning
  My solutions to problems of The Elements of Statistical Learning by Profs. Hastie, Tibshirani, and Friedman.
  ☆90Updated 6 years ago
• stappit / all-of-statistics
  Solutions to Wasserman's 'All of Statistics'.
  ☆104Updated 6 years ago
• davidrosenberg / mlcourse
  Machine learning course materials.
  ☆573Updated last year
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆153Updated 5 years ago
• stephens999 / fiveMinuteStats
  A repo of short "vignettes" illustrating statistical concepts
  ☆311Updated last year
• gbosquechacon / statrethink_course_in_pymc3
  Statistical Rethinking course in pymc3
  ☆143Updated 5 years ago
• Chrisejorge / Causal-Inference
  Materials Collection for Causal Inference
  ☆47Updated 2 years ago
• jrfiedler / causal_inference_python_code
  Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
  ☆1,314Updated 3 years ago
• bbalasub1 / glmnet_python
  ☆204Updated last year
• junpenglao / advance-bayesian-modelling-with-PyMC3
  ☆240Updated 7 years ago
• avehtari / BDA_py_demos
  Bayesian Data Analysis demos for Python
  ☆1,017Updated last year
• ryantibs / conformal
  Tools for conformal inference in regression
  ☆246Updated 10 months ago
• fonnesbeck / Bayes_Computing_Course
  ☆231Updated 3 years ago
• jayrobwilliams / jayrobwilliams.github.io
  Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
  ☆109Updated 10 months ago
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆159Updated 5 years ago
• jilmun / ISLR
  Student Solutions to An Introduction to Statistical Learning with Applications in R
  ☆207Updated 4 years ago
• fonnesbeck / gp_regression
  A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)
  ☆165Updated 3 years ago
• areding / 6420-pymc
  Porting an OpenBUGS/MATLAB-based Bayesian statistics course to Python/PyMC.
  ☆29Updated last week
• zhangry868 / Bayesian-Statistics
  Course material for Bayesian and Modern Statistics, STA601, Duke University, Spring 2015.
  ☆20Updated 9 years ago
• YuhangZhou88 / ESL_Solution
  ☆278Updated 2 years ago
• IamGianluca / arm
  My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill
  ☆81Updated 5 years ago
• avehtari / BDA_R_demos
  Bayesian Data Analysis demos for R
  ☆577Updated 9 months ago