machine-learning

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Projects

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
Assembly and Taxonomic Profiling of Metagenomic Sequences using Deep Learning	University of Rhode Island	Gaurav Khanna	AI, bioinformatics, biology, deep-learning, domain-specific, gpus, hardware, machine-learning, neural-network, python	In Progress
High Performance Computing vs Quantum Computing for Neural Networks supporting Artificial Intelligence	Pace University	Avery Leider	AI, big-data, deep-learning, github, hpc, hpc-cluster-architecture, hpc-getting-started, hpc-operations, jupyterhub, machine-learning, natural-language-processing, notebooks, programming-for-hpc, proposal-development, python, quantum-mechanics, research-computing, research-facilitation, research-grants, research-software, Researcher-facing, resources, scikit-learn, singularity, technical-training-for-hpc, tools-and-techniques, vectorization, visualization	In Progress

Student Facilitators

Name	Skills	Interests
Richa Gautam	aws big-data compiling conda data-handling data-wrangling debugging machine-learning more...	AI big-data data-handling data-management data-wrangling deep-learning linear-programming machine-learning more...
Hyungil Kye	big-data c++ machine-learning monte-carlo python r sql	big-data machine-learning monte-carlo python r
Girish Ganesan	AI c++ deep-learning machine-learning natural-language-processing neural-network python pytorch	big-data deep-learning distributed-computing machine-learning natural-language-processing neural-network quantum-mechanics supercomputing more...
Shagesh Sridharan	c++ data-analysis linear-programming machine-learning monte-carlo neural-network notebooks programming more...

Mentors and Regional Facilitators

Name	Region	Skills	Interests
Chris Carothers	CAREERS	cpus cuda file-system gpus hardware-architecture hpc-getting-started machine-learning mpi more...
Grant Scott	Great Plains	AI aws bash big-data c++ cloud/vm compiling containers more...	cloud/vm Data-facing Management/Professional Development Researcher-facing
Jeffrey Nucciarone	CAREERS	archiving bash big-data cluster-support community-outreach cybersecurity data-handling deep-learning more...
George Young	CAREERS	AI conda desktops machine-learning matlab project-management python	julia machine-learning matlab python r
Yongwook Song	Kentucky	azure big-data Data-facing deep-learning machine-learning Researcher-facing tensorflow video-processing more...
Brian Gregor	Northeast	big-data cpus data-handling debugging gpus hardware hardware-architecture job-sizing more...
Shaohao Chen	Northeast	AI bash batch-jobs compiling containers cuda debugging deep-learning more...
Jason Smith	CAREERS	image-processing machine-learning monte-carlo
Lakitha Wijeratne	TRECIS	hpc image-processing machine-learning matlab python slurm	c++ image-processing machine-learning matlab neural-network programming-languages-and-software-support python slurm more...
Mami Hayashida	Kentucky	ceph image-processing machine-learning networking neural-network visualization

Researchers and Educators

Name	Skills	Interests
Carlos Paniagua	cleanup data-analysis data-handling data-lifecycle data-wrangling file-formats git github more...

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