To distill more information from training data, more parameters are introduced into machine learning models. As a result, communication becomes the bottleneck of Distributed Machine Learning (DML) ...

We are delighted to introduce FlowRL. It is a new approach for online reinforcement learning that integrates flow-based policy representation with Wasserstein-2-regularized optimization. This creates ...

To realize domain-invariant traffic flow pattern transfer and provide more robust prediction under insufficient data conditions, we propose a macroscopic fundamental diagram (MFD) guided transfer ...

Capytaine is Python package for the simulation of the interaction between water waves and floating bodies in frequency domain. It is built around a full rewrite of the open source Boundary Element ...

Super useful for keeping things organized. Let’s get into it. Harnessing Pre-installed Python Libraries in Google Colab Google Colab is ready to roll with a ton of pre-installed Python libraries, ...