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

Implement minimal boilerplate CLIs derived from type hints and parse from command line, config files and environment variables

Solving difference equations with DifferenceEquations.jl and the SciML ecosystem.

Download Notebooks for julia.quantecon.org

Lecture source for "Quantitative Economics with Julia"

Next-generation AD

Source repository for QuantEcon Datascience

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning a…

for you with the good questions

Symbolic expressions, rewriting and simplification

Symbolic programming for the next generation of numerical software

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

Algebraic Multigrid in Julia

Stata-like toolkit for data wrangling on Julia DataFrames

Formatted output of timed sections in Julia

Various developer materials, like PDFs, notes, derivations, etc. for differential equations and scientific machine learning (SciML)

Code and algorithms for "Equilibrium Technology Diffusion, Trade, and Growth"

Brute force sysimg building for Julia

Library for simple upwind finite differences

Boost LaTeX typesetting efficiency with preview, compile, autocomplete, colorize, and more.

Equilibrium marriage market models.

A library of data interpolation and smoothing functions

Python-based Derivative-Free Optimizer for Least-Squares

Dense and Sparse Least Squares Optimization

Julia package for Gaussian quadrature

Create new Julia packages, the easy way

Create beautiful, publication-quality books and documents from computational content.