GTC2021 Presentation "S31667: Automatically Build Machine Learning Models for Vision and Text with AutoGluon"
Presenter: Xingjian Shi, Zhi Zhang, (Amazon Web Services)
- AutoGluon Text: Quick Start
- AutoGluon Text: Multimodal Table with Text
- AutoGluon: Combining BERT/Transformers and Classical Tabular Models
- AutoGluon Vision 101
For the text demo (the first three notebooks), we use will create a SageMaker notebook instance with ml.p3.2xlarge instance type. For the last notebook about vision,
we will create an instance with ml.p3.8xlarge instance type.
To run the notebook, you will need to create the instance and use the conda_python3 kernel.
You may try to install the dependencies via the following commands.
bash
conda activate python3
python3 -m pip install autogluon
python3 -m pip install mxnet-cu102==1.7.0
python3 -m pip install openpyxl