| AI/ML TechLab - Accelerating AI/ML Workflows on a Composable Cyberinfrastructure |
Docs |
ACES, documentation, TAMU, ai, visualization, deep-learning, machine-learning, neural-networks, login, authentication, composable-systems, gpu, nvidia, slurm, bash, modules, vim, anaconda, conda, programming, python, scikit-learn |
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| Building Anaconda Navigator applications |
Tool |
compiling, conda, programming, programming-best-practices |
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| Conda |
Tool |
anaconda, conda, python |
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| Containerized Jupyter Notebooks for HPCs |
Learning |
cloud, cloud-computing, openstack, scratch, data-management, data-reproducibility, github, workflow, open-ondemand, administering-hpc, configuration-automation, hpc-getting-started, hpc-tools, deployment, scripting, conda, jupyterhub, programming-best-practices, python, mpi, containers, docker, singularity |
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| Recommended Libraries for Cyberinfrastructure Users Developing Jupyter Notebooks |
Website |
ai, big-data, data-analysis, machine-learning, data-sharing, data-lifecycle, data-management, data-management-software, data-reproducibility, data-wrangling, github-pages, workflow, astrophysics, data-science, computational-chemistry, genomics, materials-science, gravitational-waves, oceanography, particle-physics, physiology, psychology, quantum-computing, quantum-mechanics, biology, science-gateway, conda, jupyterhub, python |
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| Working with Python on HPC Clusters |
Docs |
pytorch, batch-jobs, job-submission, scheduling, slurm, modules, scripting, conda, python |
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