https://github.com/amdresearch/aup-ai-tutorials

AUP AI Tutorials

https://github.com/amdresearch/aup-ai-tutorials

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (4.3%) to scientific vocabulary

Keywords

ai amd aup cpu genai gpu ml npu
Last synced: 5 months ago · JSON representation

Repository

AUP AI Tutorials

Basic Info
Statistics
  • Stars: 2
  • Watchers: 3
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Topics
ai amd aup cpu genai gpu ml npu
Created 9 months ago · Last pushed 6 months ago
Metadata Files
Readme Contributing License

README.md

AUP AI Hands-on Tutorials

Welcome to the AMD University Program AI Tutorials.

View Content

The content of this repository is displayed as a Jupyter Book. Visit https://amdresearch.github.io/aup-ai-tutorials/

Get Started

Build Book

Follow the instructions on the README.

Contribute

Contributions to this repository are welcome. Please refer to CONTRIBUTING.md for how to improve the AUP AI Tutorials.

Support

For support, feel free to ask questions on the GitHub discussions page.

Licenses

MIT License


Copyright (C) 2025 Advanced Micro Devices, Inc. All rights reserved.

SPDX-License-Identifier: MIT

Owner

  • Name: AMDResearch
  • Login: AMDResearch
  • Kind: organization

GitHub Events

Total
  • Watch event: 2
  • Push event: 1
  • Public event: 1
  • Fork event: 1
Last Year
  • Watch event: 2
  • Push event: 1
  • Public event: 1
  • Fork event: 1

Dependencies

docker/Dockerfile docker
  • rocm/pytorch rocm6.4.2_ubuntu24.04_py3.12_pytorch_release_2.6.0 build
docker/requirements.txt pypi
  • Pillow *
  • Requests *
  • SentencePiece *
  • accelerate *
  • av *
  • bitsandbytes *
  • datasets *
  • einops *
  • evaluate *
  • fvcore *
  • grad-cam *
  • hf_transfer *
  • hiredis *
  • huggingface *
  • huggingface-hub *
  • ipywidgets *
  • jupyter *
  • jupyter-book *
  • jupyterlab *
  • jupyterlab-markup *
  • jupyterlab_myst *
  • kaggle *
  • matplotlib *
  • myst-nb *
  • netron *
  • numba *
  • onnx >=1.16.2
  • pandas *
  • peft *
  • pickleshare *
  • pipdeptree *
  • pyppeteer *
  • roboflow ==1.1.47
  • scikit-learn *
  • scipy *
  • shap *
  • sphinx_design *
  • sphinxcontrib-mermaid *
  • tensorboardX *
  • tiktoken *
  • timm *
  • torchinfo *
  • torchsde *
  • tqdm *
  • transformers *
  • trl *
  • validators *
jbook/jb_requirements.txt pypi
  • ghp-import *
  • jupyter-book *
  • pyppeteer *
  • sphinx_design *
  • sphinxcontrib-mermaid *