Showing 21-40 of 56 projects
A suite of Scala libraries for building and consuming RESTful web services on top of Akka.
A Go library that provides a multi-progress bar for CLI applications.
Generates generic activity streams from actions on your site, allowing users to follow actors' activities.
An ultra-lightweight and blazing-fast MQTT Messaging Broker/Bus for IoT Edge & SDV applications.
A blazingly fast and lightweight Actor engine for distributed systems in Go.
A Rust actor framework for building concurrent, scalable, and reliable applications.
This is an open-source OSINT (Open-Source Intelligence) tool that gathers information about phone numbers, emails, subdomains, and more.
This repository contains code for the MADDPG algorithm, a multi-agent actor-critic method for cooperative-competitive environments.
Proto Actor is a fast, scalable, and distributed actor framework for .NET, Go, and Java/Kotlin applications.
A Rust fullstack framework that enables building web applications with a reactive and modular approach.
A model checker for implementing distributed systems using the Rust programming language.
Orbit is a virtual actor framework for building distributed systems in Kotlin and Java
A library that provides producer and consumer actors with back-pressure for building concurrent Elixir applications.
Pekko is a highly concurrent, distributed, and resilient message-driven application framework for Scala/Java developers.
Clooney is an actor library for the web that simplifies working with web workers.
Softlearning is a powerful reinforcement learning framework for training maximum entropy policies in continuous domains.
A PAM module that allows users to set alternate passwords to clear sensitive data or notify IT/Security if coerced.
PyTorch implementation of state-of-the-art reinforcement learning algorithms for vibe coders.
Pykka is a library that makes it easier to build concurrent Python applications using the actor model.
PyTorch implementation of the Asynchronous Advantage Actor Critic (A3C) algorithm for deep reinforcement learning.
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