Search Results for "actor"
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41 projects for "actor" with 1 filter applied:
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Actix
Actor framework for Rust
...You can implement the started, stopping and stop methods of the Actor trait. started gets called when the actor starts and stops when the actor finishes. Check the API docs for more information on the actor lifecycle. An Actor communicates with another Actor by sending messages. In actix all messages are typed. Let's define a simple Sum message with two usize parameters and an actor which will accept this message and return the sum of those two numbers. ... -
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Moon
A lightweight game server framework implemented with Actor Model
Moon is a lightweight game server framework based on the actor model. One worker thread can have one or more actors (services), which communicate with each other through message queues. There are many features for game server development. -
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RL with PyTorch
Clean, Robust, and Unified PyTorch implementation
...The project focuses on helping developers and researchers understand reinforcement learning methods by providing clean and reproducible implementations of well-known algorithms. It includes code for popular deep reinforcement learning techniques such as Deep Q-Networks, policy gradient methods, actor-critic architectures, and other modern RL approaches. The repository is structured so that users can easily experiment with different algorithms and training environments. Many examples demonstrate how agents learn to interact with simulated environments through trial and error using reinforcement learning principles. The codebase emphasizes clarity and modular design so that researchers can extend the implementations or use them for experimentation and benchmarking. -
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zfoo
Extremely fast enterprise server framework, can be used in RPC
zfoo is an extremely fast enterprise server framework designed for RPC systems, game servers, web servers, and distributed application backends. It combines asynchronous execution, actor-style design, lock-free architecture, and native GraalVM support to deliver high scalability. The framework supports single-server, microservice, cluster, and gateway deployment modes, making it adaptable to different production architectures. Its protocol system supports many languages, including Java, Kotlin, Scala, JavaScript, TypeScript, C#, Go, Python, Rust, C++, PHP, Ruby, Lua, Dart, Swift, and GDScript. zfoo also includes modules for networking, serialization, ORM, scheduling, configuration, and operational development workflows. ... -
Your monitoring isn't a stack. It's a pile. Fix that.Replace Datadog, New Relic, and Sentry without adding three more dashboards.
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Kameo
Fault-tolerant Async Actors Built on Tokio
Kameo is a lightweight Rust library for building fault-tolerant, distributed, and asynchronous actors. It allows seamless communication between actors across nodes, providing scalability, backpressure, and panic recovery for robust distributed systems. Kameo stands out by offering simplicity, resilience, and scalability. It's not just about making concurrent programming easier—it's about empowering you to build the reliable, efficient, and scalable systems that today's users demand. Whether... -
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Swift Concurrency Agent Skill
Add expert Swift Concurrency guidance to your AI coding tool
...The skill codifies practical best practices for writing efficient, safe, and modern concurrent Swift code and outlines how to modernize existing legacy code toward Swift 6 conventions. Rather than teaching basic Swift, it targets the nuanced behaviors of concurrency primitives, actor isolation, and safety annotations like @MainActor and Sendable. It also clarifies how to reason about structured tasks, cancellation, and performance trade-offs. -
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RL Games
RL implementations
rl_games is a high-performance reinforcement learning framework optimized for GPU-based training, particularly in environments like robotics and continuous control tasks. It supports advanced algorithms and is built with PyTorch. -
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OAGI Python SDK
Python SDK for the Computer Use model Lux, developed by OpenAGI
OAGI Python SDK is a Python client library for the Lux computer-use model that turns Lux into a programmable automation layer for operating human-facing software via vision and actions. It exposes the OAGI API in an ergonomic way, letting you trigger Lux in three main modes: Tasker for precise scripted sequences, Actor for fast one-shot tasks, and Thinker for open-ended, multi-step objectives. The SDK is designed around “computer use” as a paradigm, where the AI actually navigates interfaces, clicks, types, scrolls, and reads the screen through screenshots instead of only calling APIs. It provides high-level asynchronous agents (like AsyncDefaultAgent and AsyncActor) that encapsulate the loop of capturing screenshots, sending them to Lux, interpreting responses, and executing UI actions with PyAutoGUI. ... -
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OpenShorts
Free & open source AI video platform
OpenShorts is an open-source, self-hosted AI video automation platform designed to generate, edit, and distribute short-form vertical content across social media platforms. It combines multiple tools into a single pipeline, including clip generation, AI-driven video creation, and YouTube optimization features. The system can transform long videos or uploaded files into short clips by detecting engaging moments, reframing content, and adding subtitles and visual effects. It also supports... -
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Cowboy
Small, fast, modern HTTP server for Erlang/OTP
...The project is well suited for real-time systems, APIs, messaging infrastructure, telecom-style applications, and fault-tolerant services that benefit from the Erlang runtime. Cowboy is a strong choice when developers need an efficient HTTP layer that fits naturally into actor-based, concurrent Erlang architectures. -
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Infosec Reference
An Information Security Reference That Doesn't Suck
Infosec Reference is a curated knowledge base and resource repository for information security practitioners. It aggregates cheat sheets, tooling guides, protocol deep dives, incident response playbooks, and threat actor profiles—all organized under accessible categories (network, web, host, cryptography, auditing). The repo is built as a living wiki of sorts: practitioners contribute updates, expand sections, or refine explanations as the threat landscape evolves. Because security spans many domains, Infosec Reference helps consolidate high-value, battle-tested knowledge into one place, reducing the need to scour scattered blogs or notes. ... -
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EasyZSwoole
swoole, easyswoole, swoole framework
...It is born specifically for API and supports the simultaneous monitoring of HTTP, WebSocket, self-defined TCP, UDP protocol, and has rich components, such as collaboration Connect Pool, TP style co-process ORM, co-process microcredit SDK, co-process Kafka client, co-process ElasticSearch client, co-process Consul client, co-process Redis client, co-process Apollo client, co-process NSQ client, co-process self-definition queue、 Many components such as the Memcached client, the co-process view engine, JWT, the co-process RPC, the co-process SMTP client, the co-process HTTP client, the co-process Actor, and the Crontab timer. Let developers write multi-process, step-by-step, and high-available application services with the lowest learning cost and effort. -
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Active Object real-time OS
AO RTOS is small real time OS based on Active Object concurrency model
AO-RTOS is a pure object-oriented small footprint real-time operating system for embedded devices. The project is using Active Object (or Actor) concurrency model and finite state machine (FSM) design template as implementation base. -
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SObjectizer
It's all about in-process message dispatching!
...Since Aug 2019 the development of SObjectizer and so5extra is moved to GitHub: https://github.com/Stiffstream/sobjectizer https://github.com/Stiffstream/so5extra SObjectizer is an in-process message dispatching framework with implementation of Actor Model, Publish-Subscribe Model and CSP-like channels. SObjectizer allows the creation of a concurrent app as a set of agent-objects which interact with each other through asynchronous messages. It handles message dispatching and provides a working context for message processing. And allows to tune those things by supplying various ready-to-use dispatchers. -
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Jvedio
Jvedio is a local video management software
...It scans local directories, imports video files, and builds a structured library by extracting unique identifiers and categorizing content automatically. The software supports tagging, filtering, and advanced search, enabling users to manage large collections efficiently. It integrates AI-based features such as actor recognition and translation of metadata, improving the usability and accessibility of stored content. Jvedio also includes media processing tools powered by FFmpeg, allowing users to generate screenshots and GIF previews directly from videos. Its plugin system enables customization through themes and synchronization tools, while its modern interface provides a smooth user experience. ... -
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minimalRL-pytorch
Implementations of basic RL algorithms with minimal lines of codes
...Each algorithm implementation is contained within a single file and typically ranges from about 100 to 150 lines of code, making it easy for learners to inspect the entire implementation at once. The repository includes examples of widely used reinforcement learning methods such as REINFORCE, Deep Q-Networks, Proximal Policy Optimization, and Actor-Critic architectures. Most experiments are designed to run quickly using the CartPole environment so that users can focus on understanding algorithm logic rather than computational infrastructure. -
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Reinforcement Learning Methods
Simple Reinforcement learning tutorials
Reinforcement-Learning-with-TensorFlow is an educational repository that walks through key reinforcement learning algorithms implemented in TensorFlow. It provides clear code examples for foundational techniques like Q-learning, policy gradients, deep Q-networks, actor-critic methods, and value function approximation within familiar simulation environments. Each algorithm is structured with readable code, explanatory comments, and corresponding environment interaction loops so learners can easily trace how actions, rewards, and model updates connect. The project also includes demo scripts that visualize learning curves and allow students to observe policy improvement over training iterations. ... -
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neurojs
A JavaScript deep learning and reinforcement learning library
...It focuses particularly on reinforcement learning algorithms, enabling developers to create intelligent agents that learn through interaction with simulated environments. The framework supports neural network architectures and reinforcement learning methods such as deep Q-networks and actor-critic algorithms. Several interactive demonstrations included with the project illustrate how neural networks can be used to train agents in simulated tasks, including a browser-based self-driving car example. These demos allow users to visualize how reinforcement learning agents improve their behavior over time as they receive rewards and update their neural networks. -
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Orbit
Virtual actor framework for building distributed systems
Orbit is a framework to write distributed systems using virtual actors on the JVM. A virtual actor is an object that interacts with the world using asynchronous messages. At any time an actor may be active or inactive. Usually the state of an inactive actor will reside in the database. When a message is sent to an inactive actor it will be activated somewhere in the pool of backend servers. During the activation process the actor’s state is read from the database. -
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libagents
Multi-threaded C++11 Actor Model library
libagents is a C++11 implementation of the "Actor Model" (http://en.wikipedia.org/wiki/Actor_model). The libagents API allows for a natural decoupling of the core application logic from the application shell, thus facilitating the development of easily portable applications. Tested with: * gcc-4.9.1_x86 (Qt-5.4.2_windows_x86) on WinXP_x86, Win7_x86, Win8.1_x64 * gcc-7.3.0_x64 (Qt-5.9.5_linux_x64) on Ubuntu18.04_x64 -
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ELF (Extensive Lightweight Framework)
An End-To-End, Lightweight and Flexible Platform for Game Research
ELF (Extensive, Lightweight, and Flexible) is a high-performance platform for reinforcement learning research that unifies simulation, data collection, and distributed training. A C++ core provides fast environments and concurrent actors, while Python bindings expose simple APIs for agents, replay, and optimization loops. It supports both single-agent and multi-agent settings, with batched stepping and shared-memory queues that keep GPUs saturated during training. ELF introduced widely used... -
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A little web tool for helping managers to follow the list of projects in the pipe, the list of tasks and their status (open, pending, closed), the team workload, the time spent by each actor, task by task. More functionalities could be added.
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The Panini Language
Better Modularity, Better Concurrency
...A central goal of the Panini language is to make concurrent programming easier and less error-prone. The main new feature in Panini is called a capsule. A capsule is like an actor but better because it largely retains the traditional approach for reasoning about programs as a sequence of operations, abstracts away all details of thread creation and locking, and supports fully-automatic compile-time analysis of common concurrency hazards. Panini is simple and efficient. We invite you to try it out. Downloads are available from http://paninij.org/download/ -
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THIS PROJECT HAS MOVED AND CAN BE FOUND HERE: http://libuniactor.googlecode.com An abstract library targeting game developers, providing advanced control functions for any type of game actor designed to be usable in any game genre. It doesn't matter if your game is 2D or 3D, sdl, opengl or dx, you provide the visual interface.
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Flappy Tux
Penguins can't fly? You've never been so wrong!
This is a clone of the popular "Flappy Bird"-Game playable on Windows, Linux and Mac. Main actor is the linux-mascot Tux and with the nice graphics known from "SuperTux" you feel at home from the beginning. Help Tux to avoid all the pipes by using only one button. But beware: This game is harder than it looks. With your help, penguins CAN fly!
