PLEASE FOLLOWING THE FOLLOWING INSTRUCTION FOR UPLOADS IN EACH PROJECT

Each project should includes the following files with the proposed naming conventions:

• each research/published paper will have a model repo.
• the trained model(s) of the publication with file names of your choice.
• the sample inference code in jupyter notebook format. (inference.ipynb)
  • example code refers here: https://colab.research.google.com/drive/1TiNAgCehFdyHMJsS90V9ygUw0rLXdW0r?usp=sharing
• the training pipeline code in jupyter notebook format. (training_pipline.ipynb)
  • example code refers here: https://github.com/xmindflow/MS-Former/blob/main/MSFormer.ipynb
• training datasets involved in the publication in excel format (dataset.xlsx)
  • each row in the excel spreadsheet should include the dataset name and the link to download the dataset.
• the paper(s) that is/are published with this project.
• A readme file (optional)
• A requirement.txt file that list the dependencies of the project.