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CODEOWNERS
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169 lines (124 loc) · 4.4 KB
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# PHYSICSNEMO CODEOWNERS
# The owners file is organized as follows:
# First, customer-facing locations with high priority (docs, readme.md)
# Next, core utilities (not attached to specific models)
# Next, most active models (most likely to get a PR)
# Model-specific utilities are included here, and relevant examples
# Currently, the code owners is using specific people: however, we could
# and probably should make teams in the NVIDIA org, assign people to those
# teams, and use org teams instead. Let's do that in an update.
# Top level markdown files:
# Keep CHANGELOG separate - don't require specific people to approve updates to it.
./CHANGELOG.md
./*.md @ram-cherukuri @megnvidia
.github/workflows @ktangsali @coreyjadams @nickgeneva
.github/workflows/merge-queue-blossom-passthrough.yml @coreyjadams
# All changes to documentation, except images:
docs/ @megnvidia @ktangsali
docs/img/
# Core release files
Dockerfile @ktangsali
pyproject.toml @ktangsali
# CORE UTILITIES not attached to specific models:
physicsnemo/utils/profiling @coreyjadams
physicsnemo/utils/neighbors @coreyjadams @peterdsharpe
physicsnemo/utils/version_check.py @coreyjadams
physicsnemo/utils/capture.py @nickgeneva @ktangsali
physicsnemo/registry/ @loliverhennigh
physicsnemo/models/module.py @CharlelieLrt
# METRICS that are general:
physicsnemo/metrics/cae @RishikeshRanade @mnabian @peterdsharpe
physicsnemo/metrics/general @dallasfoster @nickgeneva
physicsnemo/metrics/climate @dallasfoster @nickgeneva
# Active learning components
physicsnemo/active_learning @laserkelvin @dallasfoster
# LAUNCH and DEPLOY TOOLS
# NEEDSOWNER
physicsnemo/launch
physicsnemo/deploy
# Mesh
physicsnemo/mesh @peterdsharpe
# DATAPIPES
physicsnemo/datapipes/core @coreyjadams
physicsnemo/datapipes/climate @dallasfoster @nickgeneva @pzharrington
physicsnemo/datapipes/cae/domino_datapipe.py @RishikeshRanade @coreyjadams
physicsnemo/datapipes/cae/mesh_datapipe.py @mnabian
physicsnemo/datapipes/cae/readers.py @mnabian
physicsnemo/datapipes/gnn @mnabian
physicsnemo/datapipes/healpix @pzharrington
examples/minimal/datapipes @coreyjadams
test/datapipes/core @coreyjadams
# Distributed tools
physicsnemo/distributed @coreyjadams
# MODEL SPECIFIC OWNERSHIP. These are in roughly the same order as the code repo.
# They are grouped "logically" together, though.
# For example, gnn_layers, graphcast, and meshgraphnet are together.
# AFNO
# NEEDSOWNER
# CorrDiff and Diffusion
physicsnemo/models/diffusion @CharlelieLrt
physicsnemo/utils/corrdiff @CharlelieLrt
physicsnemo/utils/diffusion @CharlelieLrt
physicsnemo/utils/generative @CharlelieLrt
physicsnemo/utils/patching.py @CharlelieLrt
physicsnemo/metrics/diffusion @CharlelieLrt
# DLWP
# NEEDSOWNER
physicsnemo/models/dlwp @pzharrington
physicsnemo/models/dlwp_healpix @pzharrington
physicsnemo/models/dlwp_healpix_layers @pzharrington
physicsnemo/utils/insolation.py @pzharrington
# DoMINO
physicsnemo/models/domino @RishikeshRanade
physicsnemo/utils/domino @RishikeshRanade
physicsnemo/utils/sdf.py @RishikeshRanade @peterdsharpe
examples/cfd/external_aerodynamics/domino @RishikeshRanade
# fengwu, pangu, swinrnn
# NEEDSOWNER
physicsnemo/models/fengu @dallasfoster
physicsnemo/models/pangu @dallasfoster
physicsnemo/models/swinvrnn @dallasfoster
# figconvnet
physicsnemo/models/figconvnet @coreyjadams
# FNO
# NEEDSOWNER
# GLOBE
physicsnemo/models/globe @peterdsharpe
# GNN layers, mesh graphnet, graphcast
physicsnemo/models/gnn_layers @mnabian
physicsnemo/models/meshgraphnet @mnabian
physicsnemo/models/graphcast @mnabian
physicsnemo/models/mesh_reduced @mnabian
physicsnemo/utils/mesh @mnabian
# pix2pix
# NEEDSOWNER
physicsnemo/models/pix2pix
# rnn, srnn
physicsnemo/models/rnn @ktangsali
physicsnemo/models/srnn @ktangsali
# topodiff
# NEEDSOWNER
physicsnemo/models/topodiff
# transolver
physicsnemo/models/transolver @coreyjadams
# unet
physicsnemo/models/unet @mnabian @peterdsharpe
# vfgn
physicsnemo/models/vfgn @mnabian
# EXAMPLE SPECIFIC OWNERSHIP
# GLOBE
examples/cfd/external_aerodynamics/globe @peterdsharpe
# corrdiff
examples/weather/corrdiff @CharlelieLrt
examples/active_learning @laserkelvin @dallasfoster
# TEST SPECIFIC OWNERSHIP
# CorrDiff and diffusion
test/models/diffusion @CharlelieLrt
test/metrics/diffusion @CharlelieLrt
test/utils/generative @CharlelieLrt
test/utils/corrdiff @CharlelieLrt
test/active_learning @laserkelvin @dallasfoster
# GLOBE
test/models/globe @peterdsharpe
# Mesh
test/mesh @peterdsharpe