AI Examples
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The UFIT Research Computing AI Support Team maintains a suite of examples for AI software stacks on UF Research Computing Github and on HiPerGator, located in /data/ai/examples. 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.
Use https://support.rc.ufl.edu to submit ticket if you need help with the examples or have any AI questions.
Research Computing Github
We have some AI examples available on the UF Research Computing Github.
Catalog of available examples
| Name | Categories | Location on HiPerGator | Author | Date added | Description
|
|---|---|---|---|---|---|
| Build Digital Twins using NVIDIA Omniverse and on HiPerGator Tutorial | Simulation and Modeling | /data/ai/examples/Omniverse
|
Yunchao Yang | 2024 | This tutorial (slides) introduces a few key compoents of Omniverse and how to start using Omniverse on HiPerGator. |
| Modulus single-GPU and multi-GPU example | PINN | /data/ai/examples/pinn/modulus
|
Yang Hong | 2024 | 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. |
| Distributed Neural Network Training with Multiple GPUs Tutorial | Multi-GPU | /data/ai/examples/distributed-compute/MultiGPUTraining
|
Yunchao Yang | 2024 | This example illstrates how to accelerate neural network training with Pytorch DistributedDataParallel on Multiple GPUs. |
| RAPIDS | Data Science | /data/ai/examples/rapids
|
Dimitri Bourilkov | 2024 | Examples for accelerated data science with RAPIDS. |
| Rapids_singlecell | Healthcare and Life Science | /data/ai/examples/rapids_singlecell
|
Huiwen Ju and Qian Zhao | 2024 | Rapids-singlecell offers enhanced single-cell data analysis as a near drop-in replacement predominantly for scanpy |
| Llama | NLP | /data/ai/examples/llms/llama
|
Qian Zhao | 2024 | This tutorial demonstrates how to perform prompt engineering |
| NVIDIA Clara Parabricks | Healthcare and Life Science | /data/ai/examples/parabricks
|
Huiwen Ju and Qian Zhao | 2024 | NVIDIA Clara Parabricks is a powerful genomics analysis software suite that leverages accelerated computing to process data efficiently. |
| NeMo Question Answering | NLP | /data/ai/examples/nlp/nemo_question_answeing
|
Qian Zhao | 2024 | This tutorial shows how to perform question-answering with NVIDIA NeMo using BERT |
| TensorFlow+Keras Convolutional Neural Net | Computer Vision | /data/ai/examples/image/tensorflow-bootcamp
|
Dimitri Bourilkov | 2024 | TensorFlow+Keras Convolutional Neural Net with NGC container |
| PyTorch Convolutional Neural Net | Computer Vision | /data/ai/examples/image/pytorch
|
Dimitri Bourilkov | 2024 | PyTorch Convolutional Neural Net with NGC container |
| TensorFlow Convolutional Neural Net | Computer Vision | /data/ai/examples/image/tensorflow
|
Dimitri Bourilkov | 2024 | PyTorch Convolutional Neural Net with NGC container |
| PyTorch Convolutional Neural Net | Computer Vision | /data/ai/examples/image/pytorch-bootcamp
|
Dimitri Bourilkov | 2024 | PyTorch Convolutional Neural Net with NGC container |
| Object Detection Tutorial | Computer Vision | /data/ai/examples/image/4.Object_Detection_Tutorial
|
Yunchao Yang | 2024 | This example illstrates how to generate a object detection on a video using pretrained models. |
| OpenCV Intro Tutorial | Computer Vision | /data/ai/examples/image/1.OpenCV_Intro_Tutorial
|
Yunchao Yang | 2024 | This example illustrates the fundamentals of image processing techniques in opencv. |
| PyTorch Instance Segmentation Tutorial | Computer Vision | /data/ai/examples/image/5.PyTorch_Instance_Segmentation_Tutorial
|
Yunchao Yang | 2024 | This example illstrates how to train an instance segementation model using mask r-cnn model |
| PyTorch Transfer Learning Tutorial | Computer Vision | /data/ai/examples/image/3.PyTorch_Transfer_Learning_Tutorial
|
Yunchao Yang | 2024 | This example illstrates how to train a convolutional neural network for image classification using transfer learning. |
| TorchVision Intro Tutorial | Computer Vision | /data/ai/examples/image/2.TorchVision_Transforms_Tutorial
|
Yunchao Yang | 2024 | This example illustrates the fundamentals of TorchVision in image transformation and augmentation |
| Building_GCN.py | Graphs | /data/ai/examples/graphs
|
Dimitri Bourilkov | 2024 | 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 |
| MONAI Medical Images Classification Tutorial | Medical Image Processing | /data/ai/examples/image/6.MONAI_Medical_Imaging_Tutorial
|
Yunchao Yang | 2024 | This example illstrates how to train an medical image classification model using MONAI. |
| AI News GPT | NLP | /data/ai/examples/nlp/ai_news_GPT
|
Eric Stubbs | 2023 | See how trained from scratch GPT models can enable knowledge exploration or brainstorming. This example also shows how transfer learning |
| Example Multinode GPT Pretraining | Mulit-GPU | /data/ai/examples/distributed-compute/pytorch_distributed_exampleGPT
|
Eric Stubbs | 2021 | Use the pytorch distributed launch utility to pretrain a GPT language model using multiple nodes. |
| Megatron Examples | NLP | /data/ai/examples/nlp/megatron
|
Eric Stubbs | 2024 | Explore knowledge in Nvidia Megatron. |