spencerbraun/anomaly_transformer_pytorch

PyTorch implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy

/ 100

Emerging

252 stars. No commits in the last 6 months.

Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 10 / 25

Maturity 16 / 25

Community 22 / 25

Stars

252

Forks

Language

Jupyter Notebook

License

MIT

Category

Last pushed

Jan 24, 2023

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/transformers/spencerbraun/anomaly_transformer_pytorch"

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

ServiceNow/TACTiS

TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series, from...

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

yotambraun/APDTFlow

APDTFlow is a modern and extensible forecasting framework for time series data that leverages...