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Build Agents and Models on One Platform
Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
LLM Wiki is a knowledge management and documentation system designed to organize, generate, and maintain structured information using large language models. It allows users to create interconnected knowledge bases that function similarly to a wiki but are enhanced with AI-driven content generation and summarization. The system emphasizes linking and context, enabling information to be connected across pages and topics for better navigation and understanding.
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
Semantic Assistants support users in content retrieval, analysis, and development, by offering context-sensitive NLP services directly integrated in standard desktop clients, like a word processor, and web information systems, like a wiki.
GGPServer is a web server based on Apache Tomcat that allows to play and watch matches between registered general game glaying (http://en.wikipedia.org/wiki/General_Game_Playing) programs.
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...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
Artifical Life simulator that employs techniques from evolutionary computing to design embodied neural networks. Essentially, simple organisms run around in a small 3-D world and compete and breed with one another. Please visit the Wiki for orientation.