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Time Series data Mining Using the Matrix Profile part 1

TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis

The Bayesians are Coming to Time Series

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Automatically Find Patterns & Anomalies from Time Series or Sequential Data - Sean Law

Hierarchical Forecasting in Python | Nixtla

Sean Law - Modern Time Series Analysis with STUMPY - Intro To Matrix Profiles | PyData Global 2020

Shen Liang - Deep Domain Adaptation and Generalization + Hands-On Workshop

Irrational Exuberance Why we should not believe 95% of papers on Time Series Anomaly Detection

PyCon.DE 2017 Nils Braun - Time series feature extraction with tsfresh - “get rich or die..

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Shen Liang - Deep Transfer Learning and Multi-task Learning + Hands-On Workshop

A Very Simple Transformer Encoder for Time Series Forecasting in PyTorch

Aileen Nielsen - Irregular time series and how to whip them

Kishan Manani- Backtesting and error metrics for modern time series forecasting | PyData London 2024

Transformes for Time Series: Is the New State of the Art (SOA) Approaching? - Ezequiel Lanza, Intel

Two Effective Algorithms for Time Series Forecasting

Nixtla: Deep Learning for Time Series Forecasting

Challenges in Time Series Forecasting

S. Mostafa Mousavi - Deep Learning of Seismograms