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aesara

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

amaya-filbien-2015-replication

Replication of Amaya and Filbien (2015), including some extension

applied-data-science-course

asearanumericaloptimization

Implementation of iterative optimizers in Aesara

asset_pricing-

cge_modeling

A package for working with CGE models in Python

computational-macroeconomics

Exercise solutions in Python and Matlab for Computational Macroeconomics 2023

courseratest

dsge-rl

Policy function approximation using reinforcement learning

edgarconnect

A Python Tool for Batch Downloading SEC EDGAR Filings

geconpy

A collection of tools for working with DSGE models in python, inspired by the R package gEcon

laos-climate-change

mbfa_financial_markets_2023

Python Code for MBFA Financial Markets TD Exercises 2023

numba-scipy

numba_scipy extends Numba to make it aware of SciPy

openaigym-economy

Simple SISO model in openAI gym to teach an agent to control inflation using the interest rate

psme-macro

psme_macro_2023

Resources and Exercises for the PSME Macroeconomics course of 2023

pymc

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

pymc-examples

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

pymc-experimental

pymc_statespace

A system for Bayesian estimation of state space models using PyMC

pytensor

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

pytensor-ml

Neural Network package built on Pytensor

sequence-jacobian

A unified framework to solve and analyze heterogeneous-agent macro models.

socialsent

Code and data for inducing domain-specific sentiment lexicons.

sympytensor

A tool to convert sympy expressions into pytensor graphs and insert them into PyMC models

textbook_assembler

A tool for assembling a collection of PDF resources into a single "textbook"

timeseers

Time should be taken seer-iously

tsdisagg

Tools for converting low time series data to high frequency

ukraine-sentiment-transmission

Studying the flow of sentiment/attention through Ukraine following events in the war