Falcon TST: A Large Scale Time Series Foundation Model A large scale time series foundation model utilizing Mixture of Experts (MoE) architecture with multiple patch tokenizers for efficient and accurate time series forecasting. 📖 Introduction Falcon TST is a cutting edge time series foundation model that leverages the power of Mixture of Experts (MoE) architecture combined with multiple patch tokenizers. This innovative approach enables efficient processing of time series data while maintaining high accuracy across various forecasting tasks. You can find more details about the model on GitHub page. 🚀 Quick Start
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