A code implementation of new papers in the time series forecasting field.
One can just clone or download the project, then run the run.py.
The requirements that needed is very common, if necessary, one can install it by self.
PatchMixer: https://arxiv.org/abs/2310.00655
SegRNN: https://arxiv.org/abs/2308.11200
iTransformer: https://arxiv.org/abs/2310.06625
TSMixer: https://arxiv.org/abs/2303.06053
One can view result at below link, and add comment.
https://docs.google.com/spreadsheets/d/1_8WsqhCjRtVgLnGvE5VuGxUOPYzVuE9gog32o3I2LQA/edit?usp=sharing
1. The model implementation strives to be as consistent as possible with the paper, but there is no guarantee of complete fidelity.
2. So far, some performance has not reached the level described in the paper, Welcome discuss and collaborate to improve it!
