Extract key information from 1,000s of NOAA Form 17-4 (Initial Report On Weather Modification Activities) using LLM.

Open Source Reimplementation of Google Deepmind's Co-Scientist

A user-friendly python package for computing and plotting machine learning explainability output.

JAX-LaB: Accelerated, differentiable multiphase Lattice Boltzmann library using JAX

Three-stage physics-informed symbolic regression framework for discovering interpretable equations from scientific data. Combines dimensional analysis, sparse regression, and uncertainty quantifica…

Workspace for applying NODE (to improve multi-time step prediction) for collision-coalescence parameterizations.

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

Jatmos is a scalable simulator for atmospheric dynamics, written in JAX.

XLB: Accelerated Lattice Boltzmann (XLB) for Physics-based ML

Analysis of cloud seeing efforts in the United States.

A package to Learn Linear Operators

GCM Physics written in JAX

Code from the 2024 LEAP summer REU/momentum fellowship ice microphysics project

Understanding Deep Learning - Simon J.D. Prince

Run AI NWP forecasts hassle-free, serverless in the cloud!

Python visualization scripts for CM1 output data

Unsupervised Deep Learning Classification of Aerosols

Implicit learning of convective organization explains precipitation stochasticity

An end to end machine learning pipeline for forecasting pyroCb