System for prototyping, training, and testing of deep ML models

Universal Research and Scientific Agent

Advanced Terrestrial Simulator (ATS) development

The High-Performance Architecture-Independent LISFLOOD-CAESAR model of floodplain, river, and sediment dynamics

Landlab codebase, wiki, and tests

Python workflows for data-rich, hyper-resolution simulations of hydrologic models on watersheds.

Fortran Utility to compare netcdf files.

Unsupported Nvim releases

Tutorials for ESS-DIVE

A flexible package manager that supports multiple versions, configurations, platforms, and compilers.

QGIS plugin for setting raster pixel values

Introduction to Cloud Computing for Genomics

An R package for extracting 'tidy' data frames from RSS, Atom and JSON feeds

rOpenSci Packages: Development, Maintenance, and Peer Review

Offline Land Model Tested for ELM

Code for: "Long-Context Autoregressive Video Modeling with Next-Frame Prediction"

A Reproducibility Study of "NETWORK DECONVOLUTION"; the original work proposed by Ye et al. (2019).

📚 Collaborative cheatsheets for console commands

Ongoing research training transformer models at scale

TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.