Note from Dec 2022: The code here work beautifully and I plan to continue making minor bug fixes maintaining the current functionality. But I no longer will be making any improvements to this project.

Existing forecasting methods often force a trade-off: either train a highly specialized model for each site (which is costly and doesn't scale) or adapt a large, general-purpose model (which can be ...

In the ever-growing large language model (LLMs) landscape, two front-runners stand out from the rest of the race: Anthropic’s Claude 3.5 Sonnet and OpenAI’s GPT-4o (the “o” stands for “Omni”). Both ...

PyOD is a versatile toolkit for detecting outliers in multivariate data, introduced in 2019. Outlier detection identifies data points that significantly differ from the majority, aiding in tasks like ...