| Project Title | Project Institution | Project Owner | Tags | Status |
|---|---|---|---|---|
| Deep convolutional neural networks (dCNN) for image segmentation, instance labeling, and tracking. | University of Delaware | Anita Schwartz | bash, bioinformatics, computational-chemistry, debugging, domain-specific, hpc, machine-learning, programming, programming-languages-and-software-support, python, Researcher-facing, scripting, slurm, software-installation, tensorflow, visualization | In Progress |
| Deep learning for biomedical image analysis | Southern Connecticut State University | Binlin Wu | AI, big-data, deep-learning, gpus, machine-learning, matlab, python, tensorflow | Finishing Up |
| Project WiCCED ML | University of Delaware | Anita Schwartz | docker, domain-specific, hadoop, jupyterhub, kubernetes, machine-learning, programming-best-practices, programming-languages-and-software-support, python, r, Researcher-facing, software-installation, spark, tensorflow, tuning | Finishing Up |
| Name | Region | Skills | Interests |
|---|---|---|---|
| Grant Scott | Great Plains | ||
| Yongwook Song | Kentucky | ||
| Brian Gregor | Northeast | ||
| David Oury | Northeast | ||
| Seung Woo Son | Northeast | ||
| Shaohao Chen | Northeast |