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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.
Data useful for testing autonomous navigation algorithms
This repository is only used for the purpose of dataset storage for Team IGVC, IITK. For the relevant code, see our GitHub repositories. (https://github.com/igvc-iitk).
The recorded data is used for testing various algorithms related to Computer Vision, SLAM, Motion Planning etc.
Twitch Quiz Bot is a Twitch chat client capable to run quizzes.
Main features:
-maintains a leader board;
-able to randomize questions in the list;
-it gives a hints over time by opening a random letter in the answer;
-you can request leader board information through !ShowScore chat command;
-you can request repeat of the current question through !RepeatQuestion;
-you can request the list of available chat commands through !Commands chat command.
-you can request the top of the...
A modular implementation of various algorithms and techniques of Machine Vision, and a 3D virtual environment for demonstration, a project for UCM (Universidad Complutense de Madrid).
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BotBattle is a framework to try different ideas for artificial intelligence in delphi. Different bots can fight against each other in realtime death matchs visualised by OpenGL.
This Java project creates a testing environment application to analyze an image at its low level features and suggest tags to clasify it using an ontology search based on the tags of similar images.
Molle is a cross-platform prover for modal logic, which exploits the modal semantic tableaux method. It features a very usable graphical interface, with interactive representation of generated models. Molle is maintained by Politecnico di Milano.
AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.