Name | Region | Skills | Interests |
---|---|---|---|
Brian Gregor | Northeast, Campus Champions | ||
Michael Blackmon | Campus Champions | ||
Kevin Brandt | Campus Champions, Great Plains | ||
Christopher Bl… | Campus Champions | ||
Cody Stevens | Campus Champions | ||
David Oury | Northeast | ||
Yu-Chieh Chi | Campus Champions | ||
Jeffrey Weekley | Campus Champions | ||
shuai liu | |||
Paul Rulis | Campus Champions | ||
Grant Scott | Great Plains | ||
Shaohao Chen | Northeast | ||
Simon Delattre | |||
Seung Woo Son | Northeast | ||
Yongwook Song | Kentucky |
Name | Description | Tags | Join | |
---|---|---|---|---|
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Jetstream-2 | Jetstream2 is a transformative update to the NSF’s science and engineering cloud infrastructure and provides 8 petaFLOPS of supercomputing power to simplify data analysis, boost discovery, and… | cloud-open-source, cloud-storage, openstack, ai, machine-learning, tensorflow, science gateway, gpu, nvidia, cuda, jupyterhub, matlab, vnc, containers, singularity |
Name | Roles | Skills | Interests |
---|---|---|---|
Andrew Cheng |
student facilitator |
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Adham Khalifa |
student facilitator |
||
Ahamed Arafaat… |
student facilitator |
||
Joseph Antonucci |
student facilitator |
||
Jaivik Patel |
student facilitator |
||
Richa Gautam |
student facilitator |
||
Stanley Nwoji | researcher/educator |
||
Seth Rosen |
student facilitator |
||
Tejasvi Munge |
student facilitator |
Title | Category | Tags | Skill Level |
---|---|---|---|
ACCESS HPC Workshop Series | Learning | big-data, deep-learning, machine-learning, neural-networks, tensorflow, gpu, PROFESSIONAL and WORKFORCE DEVELOPMENT, technical-training-for-hpc, training, openmpi, c, c++, fortran, openmp, programming, mpi, spark | Beginner, Intermediate |
GPU Computing Workshop Series for the Earth Science Community | Learning | optimization, performance-tuning, profiling, parallelization, github, pytorch, tensorflow, oceanography, gpu, hpc-arch-and-perf, PROFESSIONAL and WORKFORCE DEVELOPMENT, technical-training-for-hpc, PROGRAMMING LANGUAGES, FRAMEWORKS AND IDEs, c, c++, fortran, cuda, jupyterhub, programming, programming-best-practices, python | Beginner |
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, machine-learning, programming, python, scripting, slurm, software-installation, tensorflow | Complete |
Deep learning for biomedical image analysis | Southern Connecticut State University | Binlin Wu | ai, big-data, deep-learning, gpu, machine-learning, matlab, python, tensorflow | Complete |
Project WiCCED ML | University of Delaware | Anita Schwartz | docker, hadoop, jupyterhub, kubernetes, machine-learning, programming-best-practices, python, r, software-installation, spark, tensorflow, tuning | Complete |