Merge pull request #619 from LLNL/ext-repos

Added a few repos to input json

_visualize/input_lists.json

@@ -18,17 +18,22 @@
         "pruners",
         "rose-compiler",
         "spack",
-        "visit-dav"
+        "visit-dav",
+        "xCDAT"
     ],
     "repos": [
         "alankaplan/ctmld",
+        "alankaplan/mctfa",
         "alpine-dav/ascent",
         "atomscience-org/ampl",
+        "bendudson/hermes-3",
+        "brendenpetersen/deep-symbolic-optimization",
         "ceed/benchmarks",
         "ceed/laghos",
         "ceed/libceed",
         "ceed/remhos",
         "chu11/freeipmi-mirror",
+        "cmecmetrics/cmec-driver",
         "dun/conman",
         "dun/munge",
         "ecp-veloc/axl",
@@ -54,6 +59,7 @@
         "hpcgroup/tracer",
         "hpcgroup/tracer-examples",
         "jpype-project/jpype",
+        "landajuela/cardiac_challenge",
         "landajuela/cardiac_ml",
         "mkite-group/mkite_db",
         "nsgcc/nscamera",

pages/explore/README.md

@@ -21,7 +21,7 @@ For each category, this file contains its title, [icon][icon dir] filepath, and
 - **Proxy Applications**: Prepare for testing and porting applications - `proxy-application`
 - **System Software**: Manage laptop and desktop computer systems, HPC clusters, and parallel environments - `system-software`
 
-In general, topic tags raise a repo's visibility on GitHub and help users find related projects. The following tags, which are are not associated with the home page categories above, are recommended for LLNL repos: `amr` (adaptive mesh refinement), `arbitrary-lagrangian-eulerian` (ALE), `artificial-intelligence`, `benchmark`, `checkpoint`, `chemistry`, `cmake`, `compiler`, `cpp` (C++), `data-analysis`, `deep-learning`, `energy`, `exascale-computing`, `finite-elements`, `fortran`, `gpu`, `graph`, `high-dimensional-data`, `hpc`, `java`, `javascript`, `library`, `machine-learning`, `materials`, `matlab`, `molecular-dynamics`, `monte-carlo`, `mpi`, `natural-language-processing`, `neural-network`, `openmp`, `parallel-computing`, `python`, `shell`, `simulation`, `solver`, `templates`, `testing`, `uncertainty-quantification`.
+In general, topic tags raise a repo's visibility on GitHub and help users find related projects. The following tags, which are are not associated with the home page categories above, are recommended for LLNL repos: `amr` (adaptive mesh refinement), `arbitrary-lagrangian-eulerian` (ALE), `artificial-intelligence`, `benchmark`, `biology`, `checkpoint`, `chemistry`, `cmake`, `compiler`, `cpp` (C++), `data-analysis`, `deep-learning`, `energy`, `exascale-computing`, `finite-elements`, `fortran`, `gpu`, `graph`, `high-dimensional-data`, `hpc`, `java`, `javascript`, `library`, `machine-learning`, `materials`, `matlab`, `molecular-dynamics`, `monte-carlo`, `mpi`, `natural-language-processing`, `neural-network`, `openmp`, `parallel-computing`, `python`, `seismology`, `shell`, `simulation`, `solver`, `templates`, `testing`, `uncertainty-quantification`.
 
 Repos that appear on the [RADIUSS site](https://software.llnl.gov/radiuss/projects/) are listed in that repo's [`contributor-ci.yaml` file](https://github.com/LLNL/radiuss/blob/main/contributor-ci.yaml).