IEEE

Semi4TSF: End-to-End Semi-Supervised Contrastive Representation Learning for Time Series Forecasting

Abstract: Learning time series representations with sparse labels presents notable challenges. The surge in unsupervised contrastive learning has garnered increasing interest due to its immense ...
GitHub

Toto - Time Series Optimized Transformer for Observability

Toto is a foundation model for multivariate time series forecasting with a focus on observability metrics. Toto 2.0 is the current recommended release, featuring a family of u-μP-scaled models ranging ...
IEEE

Transformers for Multivariate Time Series Forecasting: Comprehensive Analysis, Challenges, Research Opportunities, and Future Prospects

Abstract: Multivariate time series (MTS) forecasting appears in many applied settings, ranging from finance and healthcare to energy systems, climate analysis, and IoT-based platforms. In these fields ...
GitHub

Topica: fast, all-purpose topic modeling for Python

Topica: fast, all-purpose topic modeling for Python topica is a fast topic-modeling library for Python with more than a dozen models, built for social scientists who want to move from text data to ...