GitHub

ThomasSanna/unity-ml-agent-pellet-grabber

Projet Unity (Unity 6 — 6000.2.7f2) d’initiation à l’IA avec ML-Agents, inspiré du tutoriel de Jason Builds: « How To Use MACHINE LEARNING In Unity MLAgents Setup & Basic Environment - Pellet Grabber ...
GitHub

Unity ML-Agents Toolkit

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents. We provide implementations ...
IEEE

Demo: Conversational AI Agent for ML Infrastructure Monitoring and Analysis

Abstract: We present a conversational AI framework for monitoring and analysis of distributed AI/ML infrastructure based on a multi-agent architecture. The system incorporates specialized agents for ...
IEEE

Machine Learning Agents Leveraging Digital Twins for Failure Prediction in Optical Networks

Abstract: This study proposes an advanced framework for predicting optical amplifier failures in optical networks by integrating Digital Twins (DT) and Machine Learning (ML). Utilizing the GNPy ...
marktechpost

An Intelligent Conversational Machine Learning Pipeline Integrating LangChain Agents and ...

In this tutorial, we combine the analytical power of XGBoost with the conversational intelligence of LangChain. We build an end-to-end pipeline that can generate synthetic datasets, train an XGBoost ...