This repository is the implementation of the paper: ViT2 - Pre-training Vision Transformers for Visual Times Series Forecasting. ViT2 is a framework designed to address generalization & transfer learning limitations of Time-Series-based forecasting models by encoding the time-series to images using GAF and a modified ViT architecture.
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Lack of 'experiments/configs/datasets/large/train PKL' data #1
Sure, you can run generate_datasets.py file. Moreover, these datasets are publicly available on cryptodatadownload.com. Use their webpage in order to update them (if you wish to).
Can you provide the pkl data, or share the generation method