STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

These are my go-to libraries for Python data crunching.

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

When comparing tourism spending in two regions or price trends for two items in university seminars or reports, are you satisfied with looking only at the 'average'? Let me state the conclusion: in ...

This repository is the official implementation of Guidance Graph Optimization for Lifelong Multi-Agent Path Finding, accepted to IJCAI 2024. The repository builds on top of the repository of ...

Another day, another AI model from Google. This time, Google DeepMind has released a new member of the Gemma 4 open model family, but it’s fundamentally different from the rest of the lineup.

How do you handle the task of graphing and checking daily operational performance at work? In my workplace, we were doing it in a very analog and tedious way: manually copying data scattered across ...