Search Results for "actor"

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...

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. ...

...TRFL supports both CPU and GPU TensorFlow environments, though TensorFlow itself must be installed separately. It exposes clean, modular APIs for various RL methods including Q-learning, policy gradient, and actor-critic algorithms, among others. Each function returns not only the computed loss tensor but also a detailed structure containing auxiliary information like TD errors and targets.

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

...A Deep Q-Learning agent extends Q-learning to continuous state features through neural-network function approximation. The project also experiments with stochastic and deterministic policy gradients and actor-critic methods for continuous action spaces. Its API separates reusable neural-network utilities from reinforcement-learning agents. Interactive Gridworld, PuckWorld, and WaterWorld demos make the algorithms easier to inspect visually. The library is primarily educational and exposes the learning loop in compact JavaScript code.

...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/

Friendly Object-Oriented Game Library , 2D Java Game Engine based on Slick2D and LWJGL. This library was designed for students and primer Java programmer.

A C/D/Java style programming language with built in support for concurrent programming (microthreads, actor model). It is implemented as a LLVM front end to allow for native X86 high performance code generation.

Simple actor library for Java