Abstract: Data augmentation is a series of techniques that generate high-quality artificial data by manipulating existing data samples. By leveraging data augmentation techniques, AI models can ...
A Data-Level Augmentation Framework for Time Series Forecasting With Ambiguously Related Source Data
Abstract: Many practical time series forecasting (TSF) tasks are plagued by data limitations. To alleviate this challenge, we design a data-level augmentation framework. It involves a time series ...
⚙️ TOML Configuration Support: Comprehensive configuration management system with multiple sources. 📝 Configuration file support with automatic search in multiple locations 🔄 Multi-source ...
Data Knot is a set of machine learning tools that are optimized for low latency and real-time performance. The tools can be used with any type of audio input, including optimizations for Sensory ...
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