Search Results for "space"

Semantic Kernel is an open-source SDK that lets you easily combine AI services like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C# and Python. By doing so, you can create AI apps that combine the best of both worlds. To help developers build their own Copilot experiences on top of AI plugins, we have released Semantic Kernel, a lightweight open-source SDK that allows you to orchestrate AI plugins. With Semantic Kernel, you can leverage the same AI...

...It is designed for long-running projects where maintaining context matters as much as producing a single response. Overall, Kanwas positions itself as a multiplayer thinking space for AI-assisted research, planning, and execution.

Semantic Router is a superfast decision-making layer for your LLMs and agents. Rather than waiting for slow, unreliable LLM generations to make tool-use or safety decisions, we use the magic of semantic vector space — routing our requests using semantic meaning. Combining LLMs with deterministic rules means we can be confident that our AI systems behave as intended. Cramming agent tools into the limited context window is expensive, slow, and fundamentally limited. Semantic Router enables lightning-fast and cheap tool usage that can scale to many thousands of tools. ...

...It also includes usage tracking by parsing conversation history, giving visibility into which skills are actively used and which are wasting resources. A notable feature is its token cost analysis, which helps developers understand how much context window space each skill consumes.

The Mars Simulation Project is an open source Java project to create a simulation of future human settlement on the planet Mars. See https://github.com/mars-sim/mars-sim for the LATEST issues/wiki/code change

Multiagent Particle Environments is a lightweight framework for simulating multi-agent reinforcement learning tasks in a continuous observation space with discrete action settings. It was originally developed by OpenAI and used in the influential paper Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments. The environment provides simple particle-based worlds with simulated physics, where agents can move, communicate, and interact with each other. Scenarios are designed to model cooperative, competitive, and mixed interactions among agents, making it useful for testing algorithms in multi-agent settings. ...

PUPS/P3 facilitates development of multi-process multi-host computations by providing tools to emulate colonies of homeostatic organisms. It permits persistent computation, homeostatic resource protection, and asychronous interprocess communication.

The Star Ships Learning Framework (SSLF) provides basic routines and methods in order to interact with the space shooter Star Ships V2.1. It provides the necessary interfaces for controlling the program's ships and its logic from outside the game.

...With the help of jGeohash, software developers will be able to quickly and easily generate a geohash code using user-defined latitude and longitude values. By using the GeoHash algorithm, the space can be divided into multiple grid shapes. This library is a basic implementation from the GeoHash algorithm written in the java can be applied to generate from the latitude and longitude a geohash code and reverse. The library is kept simple and have no dependencies to other libraries. For more information about the GeoHash algorithm go to (http://en.wikipedia.org/wiki/Geohash) Snapshot from source code are available at: https://github.com/astrapi69/jgeohash.git If you have suggestions or improvements of bugfixes please contribute back via github

ZenKEY is a keyboard controller and window manager for Windows. It provides an 'Infinite Desktop' space, a 'Desktop Map', 'Automatic window transparency', 'Live Icons' for process monitoring and an unlimited, flexible pop-up menu system.

ISS: a toolset for visual artists, composers and researchers in the area of: artificial life, sound synthesis, interactive art installations, immersive user interaction, sound spacialization. More information can be found on http://swarms.cc

SMILE = Speech & Music Interpretation by Large Space Extraction openSMILE is a fast, real-time (audio) feature extraction utility for automatic speech, music and paralinguistic recognition research developed originally at TUM in the scope of the EU-project SEMAINE, now maintained and supported by audEERING.

A software toolkit that implements the CoSy Architecture Schema for developing integrated intelligent robotic systems. The toolkit focuses on supporting on a space of information-processing architectures based on shared working memories.

Module linux kernel for upload chaosnet protocol into network layer. Server and client programm for share with lisp machine data space. Api interface for make program and service with chaosnet protocol.

This project aims to promote computer science. In the way of 'serious games', it will particularly help students to improve their computer skills. This project provides a framework to create space battles between AI.

bioCity is a continuous space, discrete time simulation written in C++. It is meant to be of use to population biologists. Rules of behaviour are given to individuals that move, live, die, and procreate.

Blackboard implements a lightweight, portable tuple space suitable for multi-agent system and distributed component design. Supports implicit invocation via content-filtered asynchronous events, blocking call semantics, and shared memory messaging.

AGISim is a framework for the creation of virtual worlds for artificial intelligence research, allowing AI and human controlled agents to interact in realtime within sensory-rich contexts. AGISim is built on the Crystal Space 3D game engine.

...We tackle these problems by introducing a bio-inspired algorithm, which lets the content place itself where it is needed. It is robust, scalable and adaptive. The transport path of content is exploited to replicate content and limited storage space is handled by clean-up mechanisms. We implemented a simulator to show the algorithm's performance and to test its behavior under real circumstances. It is easily extendable to support several new scenarios or changes to the algorithm (see replication and client models).