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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.
Advanced translator plugin that can be used to translate Unity games
...It integrates with popular Unity modding frameworks such as BepInEx, MelonLoader, and others, making it widely compatible with a large number of Unity titles. The plugin also includes mechanisms for caching translations locally to improve performance and reduce repeated API calls. It supports advanced features such as font replacement, text formatting adjustments, and even texture-based translation for embedded text.
A simple and effective PHP library for translating text using Google Translate without needing an API key. It allows developers to integrate real-time translation features into their applications with minimal setup and supports multiple languages, leveraging Google Translate’s unofficial endpoint.
Live Transcribe Speech Engine provides on-device speech recognition components that power real-time transcription for accessibility and everyday voice-first experiences. Its design prioritizes latency and robustness in noisy, far-field environments, enabling continuous transcription with low delay on mobile hardware. The engine manages audio front-end processing—such as noise suppression and voice activity detection—before feeding audio into compact, accurate acoustic and language models....
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Wikipedia Concept Association Map (WCAM) is new approach for textual knowledge representation and understanding. All concepts and associations are stored in a graph database for better performance and easy distribution.