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accumodel

Estimating accumulation models

aehmc

An experimental HMC implementation in Aesara

aesara

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

aesara-feedstock

A conda-smithy repository for aesara.

awesome-bayesian-statistics

A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.

bayesian-data-analysis-with-pymc2

Bayesian data analysis with PyMC(2)

bayesian-modelling-in-python

A python tutorial on bayesian modeling techniques (PYMC3)

bg_inhib

Simulation code for the paper "A computational model of inhibitory control in frontal cortex and basal ganglia."

composer

Song editor for Performous and other singing games

conda

package management tool

conda-recipes

build and test recipes for conda

covid-model

covid19

Analyses about the COVID-19 virus

cythongsl

Cython interface for the GNU Scientific Library (GSL).

datascientist_tutorial

datasharing

The Leek group guide to data sharing

edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

financial-analysis-python-tutorial

Financial Analysis in Python tutorial

hddm

HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).

heroku-buildpack-micromamba

hqlearn

Hierarchical Bayesian QLearning models

htmlgamedev

HTML Game Development Course

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

idb

ipython db.py shell extension

ipython-plotly

A collection of IPython notebooks that feature Plotly graphs. Content moved to https://plotl.ly/ipython-notebooks/

ipython_nb_cluster

Scripts to launch IPython parallel on a cluster and run an IPython Notebook to run the analysis.

jspsych-quickstart

Clone this repository to have a jsPsych starter project to tinker with

jupy2wp

Publish a Jupyter notebook on a wordpress site using xmlrpc (this is the evolution of https://github.com/Pybonacci/ipy2wp)

microarviz

Exploratory analysis of Bayesian models with Python

mpi4py_map

mpi4py_map provides a simple map() interface to mpi4py that allows easy parallelization of function evaluations over sequential input.