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An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
CP.VPOS, Türkiye'deki bankaların sanal POS entegrasyonlarını tek bir .NET kütüphanesiyle kolayca yönetmeyi sağlar.
Read Together: A platform for People who Stutter(PWS) to record and share reading practices, privately or with a supportive community.
Three cooperative ML agents + a MADDPG orchestrator detecting money laundering across 22 event-driven microservices, fully explainable, human-in-the-loop.
Lists of company wise questions. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode company tags. Updated as of 20…
🇪🇪 Open-source AI SDK for Estonian government and private services. MCP servers and skills. Connect Claude, GPT, agents and models, to Estonia's digital infrastructure.
This repository is for all those AI enthusiastics who actually loves to read books and learn.
Deep Reinforcement Learning (DRL), Multi-agent reinforcement learning (MARL), Continual Reinforcement Learning (CRL)
A practical distributed system, built with Java Spring Boot, Vertical Slice Architecture, Event Driven Architecture, CQRS, DDD, gRpc, MongoDB and RabbitMq.
Demo saga pattern, outbox pattern using Spring Boot, Debezium, Kafka, Kafka Connect
Reliable eventual consistency for Microservices
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Framework for Evolutionary Message-Driven Microservices on the JVM
Multi-module project containing several Axon-based samples
Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Built a machine learning system for detecting fraudulent transactions, deployed on AWS using Docker with ECR and EC2, and integrated into a CI/CD pipeline via GitHub Actions for continuous updates.…
Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
Learn System Design concepts and prepare for interviews using free resources.
Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x
A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm
Multi agent reinforcement learning: PyTorch implementations of several algorithms for Multi Agent domains
Learn Low Level Design (LLD) and prepare for interviews using free resources.
Understanding Deep Learning - Simon J.D. Prince