Juan Orduz's Projects
Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.
Algorithmic Marketing Models
BAyesian Model-Building Interface (Bambi) in Python.
Berlin Time Series Analysis Repository
Python Causal Impact port of Google's Algorithm.
Hackathon
Computations and statistics on manifolds with geometric structures.
Book about interpretable machine learning
Personal Website Dr. Juan Camilo Orduz
Lifetime value in Python
This repository contains material of the BMS Summer School Mathematics of Deep Learning
Explore tips and tricks to deploy machine learning models with Docker.
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
TD Reply Probono Repo
Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
Examples of PyMC3 models, including a library of Jupyter notebooks.
PyTensor is a fork of Aesara -- a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
An extremely fast Python linter and code formatter, written in Rust.
Prepping tables for machine learning
A unified framework for machine learning with time series
Statsmodels: statistical modeling and econometrics in Python
Structural Time Series in JAX
Twitter Analysis from the 21N protests in Colombia