Model Adaptation to PyTorch

[SimonLi1020]

Introduction

Hi, we are a group of students from the University of Toronto. We read the research paper and really like the model. Our motivation for this adaptation stems from the shift in TensorFlow versions from 1.x to 2.x, which posed compatibility challenges for the original model. This project aims to make the model more accessible and maintainable by leveraging the flexibility and user-friendliness of PyTorch.

Project Goals

Recreate the Original Model: Faithfully adapt the model's architecture and functionality from TensorFlow to PyTorch.
Community Collaboration: Encourage contributions and feedback from the community to improve and evolve the model.

How to Use This Repository

Installation: Instructions on setting up the environment and installing necessary dependencies.
Model Architecture: Detailed explanation of the model's architecture, including differences from the original version, if any.
Training and Evaluation: Step-by-step guide on how to train and evaluate the model using provided datasets or custom data.
Contributing: Guidelines for contributing to the project, including coding standards, submitting pull requests, and reporting issues.

Acknowledgements

Original Authors: Recognition of the authors of the original research paper and model.
Community Contributors: @shunyaoshih @Daikon-Sun

[EdoPriyo13]

@SimonLi1020 Have you succeeded in using the tpa-lstm model for your dataset? If I have run the model successfully, can I see the code? because I have similar research. You can contact my email at [email protected], thank you