There are 5 repositories under message-passing topic.
Message Queue, Job Queue, Broadcasting, WebSockets packages for PHP, Symfony, Laravel, Magento. DEVELOPMENT REPOSITORY - provided by Forma-Pro
🧩 Shape-Safe Symbolic Differentiation with Algebraic Data Types
An implementation of Actor, Publish-Subscribe, and CSP models in one rather small C++ framework. With performance, quality, and stability proved by years in the production.
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"
A message-passing distributed computing framework for node.js
Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum
High-performance reactive message-passing based Bayesian inference engine
Actor4j is an actor-oriented Java framework.
Library that provides an actor style message-passing programming model (in C++).
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
Gradient gating (ICLR 2023)
[READ-ONLY] The Kafka Enqueue transport.
gr-eventstream is a set of GNU Radio blocks for creating precisely timed events and either inserting them into, or extracting them from normal data-streams precisely. It allows for the definition of high speed time-synchronous c++ burst event handlers, as well as bridging to standard GNU Radio Async PDU messages with precise timing easily.
A Goal-Oriented Approach to Knowledge Discovery in Multi-Agent Systems
This is a simple wallet REST api that is capable of acount deposits and withdrawals, checking for account balance and providing a ministatement. It follows domain driven design practices. The project uses the DDD architecture approach.
Linear Gaussian Bayesian Networks - Inference, Parameter Learning and Representation. 🖧
Belief propagation with sparse matrices (scipy.sparse) in Python for LDPC codes. Includes NumPy implementation of message passing (min-sum and sum-product) and a few other decoders.
Asynchronous TCP communication system in order to support micro-service architecture.
p5.localmessage provides an interface to send messages locally from one sketch to another with a service worker for multi-window sketching!