| ACCESS HPC Workshop Series |
Learning |
deep-learning, machine-learning, neural-networks, big-data, tensorflow, gpu, training, openmpi, c, c++, fortran, openmp, programming, mpi, spark |
|
| Active inference textbook |
Learning |
ai, machine-learning, neural-networks |
|
| 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 |
|
| Attention, Transformers, and LLMs: a hands-on introduction in Pytorch |
Learning |
ai, deep-learning, machine-learning, neural-networks, pytorch |
|
| Automated Machine Learning Book |
Learning |
ai, data-analysis, deep-learning, machine-learning, neural-networks, python, r |
|
| Awesome Jupyter Widgets (for building interactive scientific workflows or science gateway tools) |
Learning |
ai, computer-graphics, plotting, visualization, big-data, data-analysis, deep-learning, image-processing, machine-learning, monte-carlo, neural-networks, data-sharing, data-lifecycle, data-management, data-management-software, data-reproducibility, github, astrophysics, data-science, novel-accelerators, computational-chemistry, genomics, materials-science, gravitational-waves, oceanography, particle-physics, physiology, psychology, quantum-computing, quantum-mechanics, biology, open-ondemand, science-gateway, c++, jupyterhub, python |
|
| CI Computing Module For All |
Learning |
ai, computer-vision, neural-networks, visualization, big-data, gis, parallelization, data-management, data-science, bioinformatics, open-ondemand, hpc-getting-started, cpu-architecture, distributed-computing, job-submission, jupyterhub, python, r, cybersecurity, containers |
|
| DeapSECURE – Data-Enabled Advanced Computational Training Platform for Cybersecurity Research and Education |
Learning |
ai, deep-learning, machine-learning, neural-networks, visualization, big-data, data-analysis, jekyll, batch-jobs, slurm, bash, ssh, training, workforce-development, python, scikit-learn, cybersecurity |
|
| Enhancing LLMs with RAG: A Beginner’s Guide |
Learning |
ai, llm, NAIRR-pilot, generative-ai, nlp, deep-learning, machine-learning, neural-networks, reporting, artificial-intelligence, computer-science, data-science, jupyterhub, python |
|
| Feed Forward NNs and Gradient Descent |
Website |
deep-learning, machine-learning, neural-networks |
|
| Framework to help in scaling Machine Learning/Deep Learning/AI/NLP Models to Web Application level |
Learning |
ai, deep-learning, machine-learning, neural-networks |
|
| Handwritten Digits Tutorial in PyTorch |
Website |
ai, visualization, deep-learning, image-processing, machine-learning, neural-networks, pytorch, python |
|
| HPC-AI Resources for STEM and Non-STEM Researchers |
Learning |
ai, llm, generative-ai, deep-learning, machine-learning, neural-networks, visualization, artificial-intelligence, computer-science, data-science, hpc-getting-started, professional-development, software-carpentry, training, jupyterhub, python |
|
| Intro to Machine Learning on HPC |
Docs |
ai, supervised-learning, unsupervised-learning, deep-learning, machine-learning, neural-networks |
|
| Introduction to Deep Learning in Pytorch |
Learning |
ai, deep-learning, image-processing, machine-learning, neural-networks, pytorch, gpu |
|
| Leveraging AI in Generative Assets and Environments for Play: Insights from the English Department's Digital Media Lab |
Slides |
ai, llm, generative-ai, reinforcement-learning, supervised-learning, unsupervised-learning, deep-learning, machine-learning, neural-networks, big-data, image-processing |
|
| MNIST Handwritten Digits Tutorial |
Learning |
ai, machine-learning, neural-networks |
|
| Neocortex Documentation |
Docs |
documentation, ai, deep-learning, neural-networks, hardware |
|
| Neural Networks in Julia |
Tool |
ai, deep-learning, machine-learning, neural-networks, julia |
|
| Official Documentation for PyTorch and NumPy |
Docs |
deep-learning, neural-networks, pytorch, python |
|
| PyTorch for Deep Learning and Natural Language Processing |
Docs |
ai, big-data, data-analysis, deep-learning, machine-learning, neural-networks |
|
| PyTorch Introduction |
Website |
deep-learning, machine-learning, neural-networks, pytorch, python |
|
| Representation Learning in Deep Learning |
Docs |
deep-learning, image-processing, machine-learning, neural-networks |
|
| Scikit-Learn: Easy Machine Learning and Modeling |
Tool |
documentation, ai, plotting, visualization, big-data, data-analysis, deep-learning, image-processing, machine-learning, monte-carlo, neural-networks, vectorization |
|
| Solving differential equations with Physics-informed Neural Network |
Learning |
neural-networks |
|
| The Theory Behind Neural Networks (Very Simplified) |
Video |
neural-networks |
|
| Time-Series LSTMs Python Walkthrough |
Website |
ai, deep-learning, machine-learning, neural-networks, pytorch, python |
|
| What are LSTMs? |
Learning |
ai, deep-learning, machine-learning, neural-networks |
|