Gigasoft releases ProEssentials v10 with GPU compute shaders and publishes six-part WPF chart library comparison for ...

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ANN ARBOR, MI — A University of Michigan-focused movie has been added to the Library of Congress’ National Film Registry in 2025, according to a Jan. 29 announcement. “The Big Chill,” released in 1983 ...

The project implements a Directed Acyclic Graph (DAG) executor in Python that enables the creation and execution of computational pipelines. It handles the dependencies between tasks (represented as ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Abstract: Signal processing on directed acyclic graphs (DAGs) presents unique challenges. Unlike for undirected graphs, the Laplacian matrix of a DAG lacks a complete eigenbasis in general, and the ...

Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.

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, ...

In this tutorial, we demonstrate how to construct an automated Knowledge Graph (KG) pipeline using LangGraph and NetworkX. The pipeline simulates a sequence of intelligent agents that collaboratively ...