markdregan / Bayesian-Modelling-in-PythonLinks
A python tutorial on bayesian modeling techniques (PyMC3)
☆2,511Updated 8 years ago
Alternatives and similar repositories for Bayesian-Modelling-in-Python
Users that are interested in Bayesian-Modelling-in-Python are comparing it to the libraries listed below
Sorting:
- Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke☆907Updated 4 years ago
- Bayesian Data Analysis demos for Python☆1,038Updated 4 months ago
- THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:☆875Updated 5 years ago
- The probability and statistics cookbook☆2,295Updated 2 years ago
- Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning☆3,168Updated 4 years ago
- Introduction to Statistics using Python☆915Updated 5 years ago
- Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath☆873Updated 5 years ago
- Code repository for Think Bayes.☆1,684Updated 4 years ago
- Observations from Ian on successfully delivering data science products☆543Updated 4 years ago
- Open source time series library for Python☆2,137Updated 2 years ago
- Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code☆691Updated 4 years ago
- Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.☆1,206Updated 5 years ago
- Tutorial: Bayesian Statistical Analysis in Python☆321Updated 6 years ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,840Updated last year
- Instant access to many datasets in Python.☆940Updated 3 years ago
- A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2…☆1,891Updated 3 years ago
- A data science IDE for Python☆3,905Updated 7 years ago
- Tutorial on scikit-learn and IPython for parallel machine learning☆1,599Updated 9 years ago
- General Assembly's 2015 Data Science course in Washington, DC☆1,625Updated last year
- Instructions for setting up the software on your deep learning machine☆1,973Updated 7 years ago
- Fast, flexible and easy to use probabilistic modelling in Python.☆3,507Updated 11 months ago
- Materials for my Pycon 2015 scikit-learn tutorial.☆899Updated 5 years ago
- A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks☆4,211Updated 2 years ago
- Scikit-Learn tutorial material for Scipy 2015☆574Updated 10 years ago
- ☆411Updated 7 years ago
- A collection of IPython notebooks covering various topics.☆2,609Updated 5 years ago
- Jupyter Notebooks derived from Allen Downey's book Think Bayes.☆398Updated 9 years ago
- Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics☆548Updated 3 years ago
- Plotting library for IPython/Jupyter notebooks☆3,682Updated 2 weeks ago
- PyStan, the Python interface to Stan☆928Updated 4 years ago