Industrial time series forecasting with Static Transformer (R²>0.9, <5ms inference)
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Updated
Dec 4, 2025 - Jupyter Notebook
Industrial time series forecasting with Static Transformer (R²>0.9, <5ms inference)
Predictive maintenance and quality control system for manufacturing. Uses sensor data and computer vision to predict equipment failures, optimize production lines, and detect product defects in real-time.
[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
Financial Time Series Benchmark
A Library for Advanced Deep Time Series Models.
A time-series forecasting system for predicting PICU (Pediatric ICU) bed utilization using SARIMAX, automated data pipelines, and an interactive Streamlit dashboard.
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