Popular GitHub Repositories for Emergent Communication

An open protocol enabling communication and interoperability between opaque agentic applications.

无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

Amica is an open source interface for interactive communication with 3D characters with voice synthesis and speech recognition.

AgentNetworkProtocol(ANP) is an open source protocol for agent communication. Our vision is to define how agents connect with each other, building an open, secure, and efficient collaboration network for billions of intelligent agents.

A data standard to enable right-of-way regulation, digital policy, geofencing, and two-way communication between mobility companies and public agencies worldwide.

Open protocol for communication between AI agents, applications, and humans.

PyTorch Implementation of EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision

Turn detection for full-duplex dialogue communication

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

AIUI is a platform enabling seamless two-way verbal communication with AI.

Major Project - Sign Language To Text Conversion Using Python, Computer Vision and Machine Learning

On the Convergence of FedAvg on Non-IID Data

? ERA Connect by VYNECT™ — The evolution of secure WhatsApp automation ERA Connect is part of the VYNECT™ ecosystem, offering a premium solution for safe, ethical WhatsApp automation and testing using direct WebSocket communication. Automate conversations, simulate interactions, and manage messages with maximum speed, security, and stability

Reinforcement Learning approaches for learning communication in Multi Agent Systems.

Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication

[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"

Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks