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MIT Introduction to Deep Learning (6.S191) Instructors: Alexander Amini and Ava Soleimany Course Information Summary Prerequisites Schedule Lectures Labs, Final Projects, Grading, and Prizes Software labs Gather.Town lab + Office Hour sessions Final project Paper Review Project Proposal Presentat... Read more

[ACM CSUR] A curated list of papers on universal representation learning for time series.

A curated list of papers & resources on anomaly detection foundation models using large language model, vision-language model, graph foundation model, time series foundation model, etc

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

A code implementation of new papers in the time series forecasting field.

A professional list on Multi-Modalities For Time Series Analysis (MM4TSA) Papers and Resource.

Unofficial implementation of the KDD2020 paper "USAD: UnSupervised Anomaly Detection on multivariate time series" on two datasets cited in the papers, "SWaT" (Secure Water Treatment) and "WADI" (Water Distribution)

This repository contains a reading list of papers on multivariate time series anomaly detection. This repository is still being continuously improved.

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📖 A curated list of awesome time-series papers, benchmarks, datasets, tutorials. (WIP)