pymc-devs / pymc-resourcesLinks
PyMC educational resources
☆2,008Updated 5 months ago
Alternatives and similar repositories for pymc-resources
Users that are interested in pymc-resources are comparing it to the libraries listed below
Sorting:
- Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath☆851Updated 4 years ago
- Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code☆682Updated 3 years ago
- Bayesian Analysis with Python (Second Edition)☆665Updated last year
- How to do Bayesian statistical modelling using numpy and PyMC3☆665Updated 2 years ago
- Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke☆903Updated 3 years ago
- A collection of Bayesian data analysis recipes using PyMC3☆557Updated last year
- ☆525Updated last year
- BAyesian Model-Building Interface (Bambi) in Python.☆1,156Updated last week
- Bayesian Data Analysis demos for Python☆1,015Updated last year
- Bayesian Data Analysis course at Aalto☆2,203Updated 4 months ago
- Statistical Rethinking course and book package☆2,249Updated 9 months ago
- Text and code for the second edition of Think Bayes, by Allen Downey.☆1,921Updated 4 months ago
- (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.☆710Updated 3 years ago
- Statistical Rethinking (2nd ed.) with NumPyro☆458Updated 3 weeks ago
- Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019☆2,020Updated 5 years ago
- Statistical Rethinking (2nd Ed) with Tensorflow Probability☆271Updated 3 years ago
- Statistical Rethinking course in pymc3☆143Updated 5 years ago
- A Python package for causal inference in quasi-experimental settings☆997Updated this week
- Examples of PyMC models, including a library of Jupyter notebooks.☆325Updated 2 weeks ago
- Statistical Rethinking Course Winter 2020/2021☆651Updated 4 years ago
- ☆231Updated 3 years ago
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,310Updated 3 years ago
- Exploratory analysis of Bayesian models with Python☆1,686Updated this week
- Statistical Rethinking course winter 2022☆4,113Updated 3 years ago
- Figures and code examples from Bayesian Analysis with Python (third edition)☆197Updated 4 months ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,322Updated 11 months ago
- Code for a tutorial on Bayesian Statistics by Allen Downey.☆352Updated 4 years ago
- ☆240Updated 6 years ago
- Statistical Rethinking Course for Jan-Mar 2023☆2,288Updated last year
- Bayesian Modeling and Probabilistic Programming in Python☆9,046Updated this week