Time series forecasting is essential across industries—from predicting energy demand and stock trends to managing supply chains and monitoring IoT…
Time-series Forecasting
UniTS: One Model to Rule All Time Series Tasks – Forecasting, Classification, Imputation & Anomaly Detection Unified 570
Time series data is everywhere—in financial markets, wearable health monitors, industrial sensors, and smart infrastructure. Yet, despite its ubiquity, building…
UniRepLKNet: A Universal Large-Kernel ConvNet for Faster, Stronger, and Truly Multimodal AI 1053
In the era of Vision Transformers and increasingly complex multimodal architectures, convolutional neural networks (ConvNets) have often been written off…
NeuralForecast: Accurate, Easy-to-Use Neural Time Series Forecasting for Real-World Applications 3883
Time series forecasting remains a core challenge across industries—from retail and energy to finance and logistics. While deep learning has…
TFB: The Fair, Comprehensive Benchmark for Time Series Forecasting That Solves Reproducibility and Bias Problems 1625
Time series forecasting powers critical decisions across industries—from predicting electricity demand and traffic congestion to estimating disease spread and stock…
OpenSTL: A Standardized, Reproducible Benchmark for Spatio-Temporal Forecasting Across Video, Weather, and Traffic Domains 1030
Spatio-temporal predictive learning aims to forecast future states—like video frames, weather maps, or traffic patterns—based solely on past observations, typically…