hectormz

awesome-bayes

A curated list of awesome Bayesian statistics blogs and resources

napari-mat-images

A plugin for napari to load images from Matlab's .mat files

aesara

Aesara is a fork of the Theano library that is maintained by the PyMC developers. It was previously named Theano-PyMC.

arviz

Exploratory analysis of Bayesian models with Python

napari

napari: a fast, interactive, multi-dimensional image viewer for python

pyjanitor

Python implementation of R package Janitor

bambi

BAyesian Model-Building Interface (Bambi) in Python.

central-limit-theorem-animation

datadrivencv

R package for building customizable CVs from spreadsheets

DBDA-python

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

dpananos.github.io

My blog

explained-visually

gecko-react

Rewrite of Citation Gecko as a React app

gp_regression

A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)

hectormz

interrogate

Explain yourself! Interrogate a codebase for docstring coverage.

jupyter-summarytools

summarytools in jupyter notebook

jupytext

Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts

matplotlib

matplotlib: plotting with Python

mcmc-demo

Interactive Markov-chain Monte Carlo Javascript demos

napari-tutorials

tutorials for the napari image viewer

pdf2doi

A python library/command-line tool to extract the DOI or other identifiers of a scientific paper from a pdf file.

pymc

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

pymc-examples

Examples of PyMC3 models, including a library of Jupyter notebooks.

pymcon

Website for PyMCon

pytensor

PyTensor is a fork of Aesara -- a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.

scikit-image

Image processing in Python

textual

Textual is a TUI (Text User Interface) framework for Python inspired by modern web development.

Theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

vscode-jupytext