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 ...

We're looking at four popular alternatives to MATLAB: RunMat, Octave, Julia, and Python. Our comparison focuses on their speed, how well they integrate with other tools, and their suitability for real ...

Welcome back to the second part of our DINOv2 blog series! In Part 1, we talked about how DINOv2 is changing the way AI models learn visual information without needing tons of labeled data. Now that ...

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 ...

Hey, everyone! I’m super excited to share with you a tutorial on how to use Kfold cross validation for the LightGBM classifier. If you don’t know what these terms mean, don’t worry, I’ll explain them ...

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 ...