A PyTorch-based toolkit for Multivariate Time Series Forecasting, featuring state-of-the-art models like PatchTST and our new architectures. Offers modular design for easy extension and full pipeline.
This Tibetan tokenizer based on Bi-LSTM+CRF methods, it was created with the aim of aiding researchers in the field of Tibetan natural language processing.