This is a Python script that uses the Dropbox API to download files from a shared Dropbox folder.

Python client library for Modal

Uncertainty quantification with PyTorch

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

Just a little MCMC

Extends numpyro with distributions for structural timeseries

Ternary plots for UK General Elections

Bayesian filters and smoothers in JAX.

A JAX research toolkit for building, editing, and visualizing neural networks.

Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)

Bayesian Neural Field models for prediction in large-scale spatiotemporal datasets

A minimal Diffusion Model build using only linear components

visualizing attention for LLM users

Simple Implementation of a Chat using simple RAG techniques. Developed with FastAPI and Next.js

An extremely fast Python package installer and resolver, written in Rust.

Common statistical tests are linear models (or: how to teach stats)

Template for analysis project in R

Demo vault to explain how to use Obsidian, git and Zotero

pre-commit hooks for R projects

A Simple Statistical Distribution Library in JAX

Markovian Gaussian Process Variational Autoencoders

Cookiecutter template for an R analysis project

A concise API for exploratory data visualization implementing a layered grammar of graphics

State of the art inference for your bayesian models.

📖 Has the amount of text on Vogue magazines changed?