https://github.com/alanlujan91/sequence-jacobian
Interactive guide to Auclert, Bardóczy, Rognlie, and Straub (2019): "Using the Sequence-Space Jacobian to Solve and Estimate Heterogeneous-Agent Models".
https://github.com/alanlujan91/ai-economist
Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).
https://github.com/alanlujan91/bufferstocktheory
Tested for Apple Silicon, Apple Multipass, Ubuntu 20.04
https://github.com/alanpearl/mocksurvey
Some useful tools for conducting mock surveys of galaxies from the UniverseMachine empirical model.
https://github.com/alanpearl/kdescent
Stochastic gradient descent via mini-batched KDE
https://github.com/jcmgray/opt_einsum_samples
Tensor network sample contractions in JSON format for testing opt_einsum.
https://github.com/alans3321/awesome-llm
Awesome-LLM: a curated list of Large Language Model
https://github.com/alaweimm90/qmatsim
Modular Multiscale Framework for DFT and MD Integration with SIESTA + LAMMPS
https://github.com/alawryaguila/conddiff
Pytorch code for "Conditional diffusion models for guided anomaly detection in brain MRI using fluid-driven anomaly randomization"
https://github.com/alberdilab/drakkar
Metagenomics pipeline optimised for Mjolnir