Juan Orduz

btsa. Berlin Time Series Analysis Repository

website_projects. Repository containing the code of the projects presented in my personal website.

numpyro_forecast. Forecasting Models in NumPyro

juanitorduz.github.io. Personal Website Dr. Juan Camilo Orduz

ml_prod_tutorial. Explore tips and tricks to deploy machine learning models with Docker.

math_deep_learning_summer_school19. This repository contains material of the BMS Summer School Mathematics of Deep Learning

python-causality-handbook. Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

pymc-examples. Examples of PyMC3 models, including a library of Jupyter notebooks.

twitter_analysis_21n. Twitter Analysis from the 21N protests in Colombia

lightweight_mmm. Python

statsmodels. Statsmodels: statistical modeling and econometrics in Python

algorithmic-examples. Algorithmic Marketing Models

numpyro. Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

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

pyfixest. Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax