AI Examples¶
The UFIT Research Computing AI Support Team maintains a suite of examples for computer vision and natural language processing tasks using the AI software stacks on HiPerGator. Users may copy these examples to their own space, add modifications, and follow the instructions to run these jobs on HiPerGator. Each example has a readme file with additional information in its directory.
Submit a support request to get help with the examples or if you have any AI questions.
Research Computing on Github¶
We have examples available on the UF Research Computing Github.
| Name | Categories | Description |
|---|---|---|
| Multinode Pytorch Launch | distributed compute | Launch a pytorch script for multiple GPUs on multiple nodes. |
| Py4AI | Python education | The episodes in this course are derived from work that is Copyrighted © by Software Carpentry. Additional information can be found at: http://software-carpentry.org/. |
| Understanding PyTorch | Pytorch education | Learn the Pytorch deep learning software by coding linear regression from the neural network perspective |
| Pytorch Convolutional Neural Network | computer vision | This training module is based off of the Deep Learning with Pytorch: A 60 minute blitz tutorial by Soumith Chintala. It has been updated and customized for running on HiPerGator |
Catalog of available examples¶
| dirpath | name | author | date added | categories | description |
|---|---|---|---|---|---|
| /data/ai/examples/Omniverse | Build Digital Twins using NVIDIA Omniverse and on HiPerGator Tutorial | Yunchao Yang | 2024 | Simulation and Modeling | This tutorial (slides) introduces a few key compoents of Omniverse and how to start using Omniverse on HiPerGator. |
| /data/ai/examples/pinn/modulus | Modulus single-GPU and multi-GPU example | Yang Hong | 2024 | PINN | Modulus single-GPU Jupyter-notebook example is for using PINN to approximate the solution of a given PDE and boundary conditions. The multi-GPU example is for using GraphNN accelerates MD simulations to predict the force of each atom in the system. |
| /data/ai/examples/distributed-compute/MultiGPUTraining | Distributed Neural Network Training with Multiple GPUs Tutorial | Yunchao Yang | 2024 | Multi-GPU | This example illstrates how to accelerate neural network training with Pytorch DistributedDataParallel on Multiple GPUs. |
| /data/ai/examples/rapids | RAPIDS | Dimitri Bourilkov | 2024 | Data Science | Examples for accelerated data science with RAPIDS. |
| /data/ai/examples/rapids_singlecell | Rapids_singlecell | Huiwen Ju and Qian Zhao | 2024 | Healthcare and Life Science | Rapids-singlecell offers enhanced single-cell data analysis as a near drop-in replacement predominantly for scanpy while also incorporating select functionalities from squidpy and decoupler. Utilizing GPU computing with cupy and Nvidia’s RAPIDS it emphasizes high computational efficiency. |
| /data/ai/examples/llms/llama | Llama | Qian Zhao | 2024 | NLP | This tutorial demonstrates how to perform prompt engineering fine-tuning and inference using the Meta Llama 2 and Llama 3 models. |
| /data/ai/examples/parabricks | NVIDIA Clara Parabricks | Huiwen Ju and Qian Zhao | 2024 | Healthcare and Life Science | NVIDIA Clara Parabricks is a powerful genomics analysis software suite that leverages accelerated computing to process data efficiently. |
| /data/ai/examples/nlp/nemo_question_answeing | NeMo Question Answering | Qian Zhao | 2024 | NLP | This tutorial shows how to perform question-answering with NVIDIA NeMo using BERT, BART and GPT models. |
| /data/ai/examples/image/tensorflow-bootcamp | TensorFlow+Keras Convolutional Neural Net | Dimitri Bourilkov | 2024 | Computer Vision | TensorFlow+Keras Convolutional Neural Net with NGC container, CIFAR10 dataset. |
| /data/ai/examples/image/pytorch | PyTorch Convolutional Neural Net | Dimitri Bourilkov | 2024 | Computer Vision | PyTorch Convolutional Neural Net with NGC container, CIFAR10 dataset. |
| /data/ai/examples/image/tensorflow | TensorFlow Convolutional Neural Net | Dimitri Bourilkov | 2024 | Computer Vision | PyTorch Convolutional Neural Net with NGC container, MNIST dataset. |
| /data/ai/examples/image/pytorch-bootcamp | PyTorch Convolutional Neural Net | Dimitri Bourilkov | 2024 | Computer Vision | PyTorch Convolutional Neural Net with NGC container, CIFAR10 dataset, IFAS bootcamp. |
| /data/ai/examples/image/4.Object_Detection_Tutorial | Object Detection Tutorial | Yunchao Yang | 2024 | Computer Vision | This example illstrates how to generate a object detection on a video using pretrained models. |
| /data/ai/examples/image/1.OpenCV_Intro_Tutorial | OpenCV Intro Tutorial | Yunchao Yang | 2024 | Computer Vision | This example illustrates the fundamentals of image processing techniques in opencv. |
| /data/ai/examples/image/5.PyTorch_Instance_Segmentation_Tutorial | PyTorch Instance Segmentation Tutorial | Yunchao Yang | 2024 | Computer Vision | This example illstrates how to train an instance segementation model using mask r-cnn model |
| /data/ai/examples/image/3.PyTorch_Transfer_Learning_Tutorial | PyTorch Transfer Learning Tutorial | Yunchao Yang | 2024 | Computer Vision | This example illstrates how to train a convolutional neural network for image classification using transfer learning. |
| /data/ai/examples/image/2.TorchVision_Transforms_Tutorial | TorchVision Intro Tutorial | Yunchao Yang | 2024 | Computer Vision | This example illustrates the fundamentals of TorchVision in image transformation and augmentation |
| /data/ai/examples/graphs | Building_GCN.py | Dimitri Bourilkov | 2024 | Graphs | Building Feed-Forward Graph Convolutional Networks (GCN) based on a paper by Thomas Kipf and Max Welling (https://arxiv.org/pdf/1609.02907.pdf). Implemented using PyTorch, NetworkX and Numpy. |
| /data/ai/examples/image/6.MONAI_Medical_Imaging_Tutorial | MONAI Medical Images Classification Tutorial | Yunchao Yang | 2024 | Medical Image Processing | This example illstrates how to train an medical image classification model using MONAI. |
| /data/ai/examples/nlp/ai_news_GPT | AI News GPT | Eric Stubbs | 2023 | NLP | See how trained from scratch GPT models can enable knowledge exploration or brainstorming. This example also shows how transfer learning, amount of data, and finetuning affect GPT models. |
| /data/ai/examples/distributed-compute/pytorch_distributed_exampleGPT | Example Multinode GPT Pretraining | Eric Stubbs | 2021 | Mulit-GPU | Use the pytorch distributed launch utility to pretrain a GPT language model using multiple nodes. |
| /data/ai/examples/nlp/megatron | Megatron Examples | Eric Stubbs | 2024 | NLP | Explore knowledge in Nvidia Megatron. |