Search Results for "t-mobile"
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Showing 4 open source projects for "t-mobile"
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Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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Build Agents and Models on One PlatformGemini 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.
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Moonshine Voice
Fast and accurate automatic speech recognition (ASR) for edge devices
...Its architecture emphasizes low latency and flexible input handling, allowing audio streams of varying durations rather than relying on fixed processing windows. Moonshine supports multiple platforms including mobile, desktop, and embedded systems, and provides example projects to accelerate integration into real-world products. The toolkit also includes specialized model variants, including monolingual options that improve accuracy for specific languages. Overall, moonshine serves developers building privacy-conscious, on-device voice interfaces that demand high performance with minimal resource overhead. -
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liepa-tts-andoid
Liepa TTS andoid engine
TTS engne for Lithuanian language synthesation based on LIEPA project (https://www.xn--ratija-ckb.lt/liepa/infrastrukturines-paslaugos/elektroninio-teksto-skaitytuvas/7563) -
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An initiative to create something similar to the windows program Roger Wilco, Teamspeak, BattleCom and Speak Freely, allowing users from different platforms talk with each other in real time with minimal CPU and bandwidth usage. Voice chat.....
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Scalable Language API (SLAPI) The most comprehensive architecture for conversational natural-language applications including speech recognition/synthesis, semantics, & machine translation. Used on Android & other mobile app platforms.
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Stop vibe-debugging.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.
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