RaulPL

awesome-gaussian-processes

A curated list of resources for learning Gaussian Processes

deconfounded_recommender

An implementation of the Deconfounded Recommender using NumPyro

data-science-resources

talks

arviz

Exploratory analysis of Bayesian models with Python

bayesian_statistics_notes

Bayesian statistics notes

blog

Personal blog

dotfiles

Configuration files

cola

Compositional Linear Algebra

container-fundamentals

Code associated with Corise.com Conainer Fundamentals Course

dynamax

State Space Models library in JAX

ecobici_panel_demo

Dashboard for exploring the rides in the Ecobici bike sharing system

EconML

effective-guacamole

Personal blog

equinox

Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

full-stack-ml-metaflow-corise-week-1

full-stack-ml-metaflow-corise-week-2

full-stack-ml-metaflow-corise-week-3

full-stack-ml-metaflow-corise-week-4

gym-minigrid

Minimalistic gridworld package for OpenAI Gym

holoviews

With Holoviews, your data visualizes itself.

mab_notes

Multi-armed bandits notes

numpyro

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

panel

Panel: The powerful data exploration & web app framework for Python

pixi

Package management made easy

PySR

High-Performance Symbolic Regression in Python and Julia

python-causality-handbook

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

python_en_quimica2020

Material del curso

raulpl.github.io

blog

sts-jax

Structural Time Series in JAX