Mental health is not to be reduced to simple discrete classifications, but that's what AI is doing to us. AI can be ...
A comprehensive, production-ready implementation of Graph Isomorphism Networks (GIN) for graph classification tasks. This project provides a clean, reproducible, and showcase-ready implementation with ...
I know, I know. Here comes this guy saying that I should add more to my plate. I can’t deny that there’s effort involved, but I plan to make a case that you should collect, analyze and act on a wide ...
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Python Physics Lesson 8; Orbits, Energy, and Graphs
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: This paper proposes a novel explainable document classification framework that integrates Concept Whitening (CW) with graph concepts that are derived from stable graph patterns, and ...
1 Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China 2 Faculty of Life Science and Technology, Kunming University of Science and Technology ...
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, ...
Hands-on coding of a multiclass neural network from scratch, with softmax and one-hot encoding. #Softmax #MulticlassClassification #PythonAI Trump announces two new national holidays, including one on ...
Classification of skin lesions (among 7 classes) using the file https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/DBW86T and using the pytorch ...
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