GitHub

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

1.0 and 2.0: relevant code archived in the sub directory v1. You can pip install timesfm==1.3.0 to install an older version of this package to load them.
IEEE

Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment

Abstract: With the continuous growth in the number of parameters of the Transformer-based pretrained language models (PLMs), particularly the emergence of large language models (LLMs) with billions of ...
IEEE

Anchor Fin Explored as an Important Design Parameter for Lamb Wave Resonators

Abstract: In this work, we present a newly proposed concept of engineering the anchor fins in a suspended Lamb wave resonator and using it as an important design parameter to optimize the resonator ...
The Lancet

Zanidatamab plus chemotherapy as first-line treatment for patients with HER2-positive advanced gastro-oesophageal adenocarcinoma: primary results of a multicentre, single-arm ...

aDepartment of Gastrointestinal Medical Oncology, Princess Margaret Cancer Centre, Toronto, ON, Canada bDepartment of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer ...