deep-learning
Mentors and Regional Facilitators
| Name | Region | Skills | Interests |
|---|---|---|---|
| Alana Romanella | Campus Champions | ||
| Michael Blackmon | Campus Champions, ACCESS CSSN | ||
| Kevin Brandt | Campus Champions, Great Plains, CCMNet | ||
| Balamurugan Desinghu | ACCESS CSSN, Campus Champions, CAREERS, Northeast | ||
| Daniel Morales | Campus Champions | ||
| Deborah Penchoff | Campus Champions | ||
| Daniel Howard | RMACC, Campus Champions, ACCESS CSSN, CCMNet | ||
| Daniel Sierra-Sosa | Campus Champions | ||
| Fan Chen | ACCESS CSSN | ||
| Fernando Garzon | ACCESS CSSN | ||
| Ibrahim Sheikh | CAREERS | ||
| Jeffrey Weekley | Campus Champions | ||
| Od Odbadrakh | ACCESS CSSN | ||
| Lonnie Crosby | Campus Champions, ACCESS CSSN | ||
| shuai liu | ACCESS CSSN | ||
| Mohsen Ahmadkhani | CCMNet, ACCESS CSSN | ||
| Michael Puerrer | Campus Champions, Northeast | ||
| Maryam Taeb | |||
| Nect Admin | Great Plains, Northeast, RMACC | ||
| Jeffrey J. Nuc… | CAREERS | ||
| Renos Zabounidis | Campus Champions | ||
| Grant Scott | Great Plains | ||
| Xiaoqin Huang | ACCESS CSSN | ||
| Shaohao Chen | Northeast | ||
| Simon Delattre | |||
| William Lai | ACCESS CSSN | ||
| Yongwook Song | Kentucky |
Organizations
Affinity Groups
There are no Affinity Groups associated with this topic. View All Affinity Groups.
Announcements
| Title | Date |
|---|---|
| NSF requests research and education use cases for NAIRR | 02/22/24 |
| NVIDIA GenAI/LLM Virtual Workshop Series for Higher Ed | 02/17/24 |
| Open Call: Minisymposia for PASC24 | 10/05/23 |
Upcoming Events & Trainings
| Title | Date |
|---|---|
| HPC and Data Science Summer Institute | 8/05/24 |
Topics from Ask.CI
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Knowledge Base Resources
| Title | Category | Tags | Skill Level |
|---|---|---|---|
| ACCESS HPC Workshop Series | Learning | deep-learning, machine-learning, neural-networks, big-data, tensorflow, gpu, training, openmpi, c, c++, fortran, openmp, programming, mpi, spark | Beginner, Intermediate |
| 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 | Intermediate |
| Attention, Transformers, and LLMs: a hands-on introduction in Pytorch | Learning | ai, deep-learning, machine-learning, neural-networks, pytorch | Intermediate |
Engagements
AI for Business
San Diego State University
The research focus is to apply the pre-training techniques of Large Language Models to the encoding process of the Code Search Project, to improve the existing model and develop a new code searching model. The assistant shall explore a transformer or equivalent model (such as GPT-3.5) with fine-tuning, which can help achieve state-of-the-art performance for NLP tasks. The research also aims to test and evaluate various state-of-the-art models to find the most promising ones.
Status: Complete
People with Expertise
Expertise
Expertise
Expertise
People with Interest
Nicholas Danes
Colorado School of Mines
Programs
Campus Champions, MINES
Roles
mentor, research computing facilitator
Interests
Interests