qingsongedu/time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
This is a curated list of research papers, code, and datasets focusing on the use of Transformer models for analyzing time series data. It helps AI researchers and practitioners stay current with the latest advancements in applying Transformer architectures to various time series problems. You'll find a comprehensive overview of existing resources, categorized by application domain.
2,968 stars. No commits in the last 6 months.
Use this if you are a researcher or AI practitioner looking to explore or implement Transformer models for time series analysis and need a structured overview of the latest developments.
Not ideal if you are looking for an off-the-shelf software tool or a step-by-step guide to implement a specific time series forecasting solution without engaging with research papers.
Stars
2,968
Forks
271
Language
—
License
MIT
Category
Last pushed
Aug 08, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/qingsongedu/time-series-transformers-review"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
amazon-science/chronos-forecasting
Chronos: Pretrained Models for Time Series Forecasting
SalesforceAIResearch/uni2ts
Unified Training of Universal Time Series Forecasting Transformers
moment-timeseries-foundation-model/moment
MOMENT: A Family of Open Time-series Foundation Models, ICML'24
ServiceNow/TACTiS
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series, from...
yotambraun/APDTFlow
APDTFlow is a modern and extensible forecasting framework for time series data that leverages...