| ACCESS HPC Workshop Series |
Learning |
deep-learning, machine-learning, neural-networks, big-data, tensorflow, gpu, training, openmpi, c, c++, fortran, openmp, programming, mpi, spark |
|
| 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 |
|
| Docker - Containerized, reproducible workflows |
Tool |
documentation, cloud-computing, deep-learning |
|
| Fairness and Machine Learning |
Docs |
ai, data-analysis, deep-learning, machine-learning, data-science |
|
| 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 |
|
| Horovod: Distributed deep learning training framework |
Tool |
deep-learning, distributed-computing, gpu |
|
| 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 |
|
| Introduction to Python for Digital Humanities and Computational Research |
Docs |
ai, big-data, data-analysis, deep-learning, data-science, python |
|
| 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 |
|
| Neocortex Documentation |
Docs |
documentation, ai, deep-learning, neural-networks, hardware |
|
| Neural Networks in Julia |
Tool |
ai, deep-learning, machine-learning, neural-networks, julia |
|
| Numpy - a Python Library |
Tool |
documentation, big-data, data-analysis, deep-learning, opencv, pytorch, tensorflow, data-science |
|
| 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 |
|
| Quick and Robust Data Augmentation with Albumentations Library |
Tool |
deep-learning, 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 |
|
| 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 |
|
| What is fairness in ML? |
Docs |
ai, visualization, data-analysis, deep-learning, machine-learning |
|