Jesse Grabowski's repositories
pymc_statespace
A system for Bayesian estimation of state space models using PyMC
statespace-presentation
Presentation materials for PyMC Statespace
cge_modeling
A package for working with CGE models in Python
pytensor-ml
Neural Network package built on Pytensor
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"
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
AsearaNumericalOptimization
Implementation of iterative optimizers in Aesara
computational-macroeconomics
Exercise solutions in Python and Matlab for Computational Macroeconomics 2023
DSGE-RL
Policy function approximation using reinforcement learning
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
OECD_modeling_presentation
No runways, sadly.
posteriordb
Database with posteriors of interest for Bayesian inference
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.
pytensor
PyTensor is a fork of Aesara -- a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.
sequence-jacobian
A unified framework to solve and analyze heterogeneous-agent macro models.
ukraine-sentiment-transmission
Studying the flow of sentiment/attention through Ukraine following events in the war