| 01 – Introduction to Artificial Intelligence: Concepts, Applications, and Ethics |
Video |
ai, llm, NAIRR-pilot, generative-ai, deep-learning, machine-learning |
|
| 02 – Accessible AI and High-Performance Computing (HPC): A 14-Workshop Beginner Series (K–12 and Beyond) |
Learning |
ai, NAIRR-pilot, generative-ai, deep-learning, machine-learning, hpc-getting-started |
|
| 03 – Retrieval-Augmented Generation (RAG) for Large Language Models: A Beginner’s Guide |
Learning |
ai, llm, generative-ai, deep-learning, machine-learning |
|
| 05 – Getting Started with the National Artificial Intelligence Research Resource (NAIRR) |
Learning |
ai, NAIRR-pilot, generative-ai, machine-learning, hpc-getting-started, research-facilitation |
|
| A visual introduction to Gaussian Belief Propagation |
Website |
ai, machine-learning |
|
| 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 for improved HPC research - Cursor and Termius - Powerpoint |
Slides |
documentation, ai, machine-learning, ssh, programming, programming-best-practices, python, terminal-emulation-and-window-management |
|
| AI Institutes Cyberinfrastructure Documents: SAIL Meeting |
Learning |
ACCESS-account, ai, data-analysis, machine-learning |
|
| AI powered VsCode Editor |
Tool |
ai, machine-learning, workflow, natural-language-processing, programming, python, sas |
|
| An Introduction to the Julia Programming Language |
Learning |
ai, data-analysis, machine-learning, julia |
|
| Applications of Machine Learning in Engineering and Parameter Tuning Tutorial |
Learning |
data-analysis, machine-learning, python |
|
| 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 |
|
| Data Imputation Methods for Climate Data and Mortality Data |
Video |
allocation-value, documentation, ai, plotting, visualization, data-analysis, machine-learning |
|
| DNA Analysis with PyTorch: A Promising but Complex Landscape |
Learning |
deep-learning, machine-learning |
|
| Factor Graphs and the Sum-Product Algorithm |
Docs |
ACCESS-account, ai, machine-learning |
|
| Fairness and Machine Learning |
Docs |
ai, data-analysis, deep-learning, machine-learning, data-science |
|
| fast.ai |
Website |
ai, machine-learning, pytorch, training |
|
| 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 |
|
| GPU Acceleration in Python |
Learning |
machine-learning, big-data, data-analysis, optimization, parallelization, gpu, cuda, python |
|
| Handwritten Digits Tutorial in PyTorch |
Website |
ai, visualization, deep-learning, image-processing, machine-learning, neural-networks, pytorch, python |
|
| Harnessing the Power of Cloud and Machine Learning for Climate and Ocean Advances |
Learning |
machine-learning |
|
| Implementing Markov Processes with Julia |
Tool |
ai, machine-learning, julia |
|
| InsideHPC |
Website |
ai, machine-learning, community-outreach |
|
| Intro to Machine Learning on HPC |
Docs |
ai, supervised-learning, unsupervised-learning, deep-learning, machine-learning, neural-networks |
|
| Intro to Statistical Computing with Stan |
Docs |
data-analysis, machine-learning, monte-carlo, python |
|
| Introduction to Deep Learning in Pytorch |
Learning |
ai, deep-learning, image-processing, machine-learning, neural-networks, pytorch, gpu |
|
| Introduction to Probabilistic Graphical Models |
Learning |
ai, machine-learning |
|
| iOS CoreML + SwiftUI Image Classification Model |
Docs |
ai, machine-learning |
|
| 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 |
|
| Machine Learning in Astrophysics |
Docs |
plotting, big-data, image-processing, machine-learning, astrophysics |
|
| Machine Learning in R online book |
Learning |
data-analysis, machine-learning, r |
|
| Machine Learning with sci-kit learn |
Learning |
ai, big-data, machine-learning |
|
| MNIST Handwritten Digits Tutorial |
Learning |
ai, machine-learning, neural-networks |
|
| Neural Networks in Julia |
Tool |
ai, deep-learning, machine-learning, neural-networks, julia |
|
| Nvidia Deep Learning Institute Instructor Certification Information |
Learning |
ai, deep-learning, machine-learning, artificial-intelligence, gpu, python |
|
| Online Bachelor's in Data Science Program Guide - TechGuide |
Website |
machine-learning, big-data, data-analysis, data-science |
|
| Online Master's in Business Analytics Program Guide - TechGuide |
Website |
machine-learning, big-data, data-analysis, data-science |
|
| Practical Machine Learning with Python |
Video |
machine-learning, programming, python |
|
| Probabilistic Semantic Data Association for Collaborative Human-Robot Sensing |
Docs |
ai, machine-learning |
|
| Python Tools for Data Science |
Video |
ai, machine-learning, big-data, data-analysis, data-wrangling, data-science, training, workforce-development, python, scikit-learn, sql |
|
| PyTorch Documentation |
Docs |
ai, deep-learning, machine-learning, cloud-computing, structural-biology, pip |
|
| 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 |
|
| Reinforcement Learning For Beginners with Python |
Video |
deep-learning, machine-learning, tensorflow, training, programming-best-practices, 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 |
|
| Scipy Lecture Notes |
Learning |
visualization, data-analysis, machine-learning, python |
|
| Time-Series LSTMs Python Walkthrough |
Website |
ai, deep-learning, machine-learning, neural-networks, pytorch, python |
|
| Training an LSTM Model in Pytorch |
Learning |
ai, supervised-learning, machine-learning |
|
| Useful R Packages for Data Science and Statistics |
Docs |
plotting, visualization, data-analysis, machine-learning, data-science, r |
|
| Weka |
Tool |
big-data, data-analysis, machine-learning, weka, data-science, java |
|
| What are LSTMs? |
Learning |
ai, deep-learning, machine-learning, neural-networks |
|
| What is fairness in ML? |
Docs |
ai, visualization, data-analysis, deep-learning, machine-learning |
|