Hy 2 DL is a python library to create hydrological models for rainfall-runoff prediction using deep learning methods. The repository includes implementations with Large-Sample Hydrology datasets such ...

Graph neural networks have emerged as a leading paradigm for inferring node labels in complex relational data. By extending convolutional and attention operations to arbitrary graph structures, these ...

If Python developers have one consistent gripe about their beloved language, it tends to be this: Why is it so hard to take a Python program and deploy it as a ...

A Python library for interacting with the LandingAI Agentic Document Extraction REST API, designed for flexibility, reliability, clarity, and performance. Built for Python 3.9+ and generated with ...

ampersend extends Coinbase’s x402 and Google’s A2A frameworks with automation and compliance controls Developed in collaboration with Coinbase, Google, and the Ethereum Foundation’s dAI team Launching ...

Abstract: Node importance estimation involves assigning a global importance score to each node in a graph, pivotal to various subsequent tasks, including recommendation, network dismantling, etc.

The Batavia Public Library will recognize an outstanding local couple next month with an award honoring their service to individuals with disabilities and contributions to the library district.

What if you could transform vast amounts of unstructured text into a living, breathing map of knowledge—one that not only organizes information but reveals hidden connections you never knew existed?

LangGraph Multi-Agent Swarm is a Python library designed to orchestrate multiple AI agents as a cohesive “swarm.” It builds on LangGraph, a framework for constructing robust, stateful agent workflows, ...