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aemcmc

Miscellaneous MCMC samplers in Aesara

aeppl

Tools for a[e] PPL in Aesara.

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

badges

:flower_playing_cards: Readme Badges – Gotta catch 'em all

causalpy

A Python package for causal inference in quasi-experimental settings

compress_pickle

Standard python pickle, thinly wrapped with standard compression libraries

d3-gantt

Gantt Chart with D3

ghost_day

My presentation for the Ghost day 2022 conference

head_of_apache

Small repo that adds or updates the Apache v2 license header to source code files of your project

lucianopaz.github.io

Personal website of Luciano Paz

luminanceparticlefilter

my_website_source

nest-simulator

The NEST simulator

numpy

The fundamental package for scientific computing with Python.

nutpie

Python wrapper for nuts-rs

pydstool

PyDSTool main development repo

pymc

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

pymc-examples

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

pymc-experimental

pymc-feedstock

A conda-smithy repository for pymc.

pymc-marketing

Bayesian marketing toolbox in PyMC. Media Mix, CLV models and more.

pymc4

A high-level probabilistic programming interface for TensorFlow Probability

pymcon

My presentation for the PyMCON 2020 conference

pymcon-1

Website for PyMCon

pytensor

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

query-overpass

Make queries to OpenStreetMap's overpass API and output as GeoJSON

scikit-learn

scikit-learn: machine learning in Python

sensory_integration_time

This repository contains the code used to fit the models described in "A sensory integration account for time perception" (submission in progress to eLife).

statistical_machine_learning

Notebooks for the statistical machine learning course at U. Trieste