#python #blockchain #deep_learning #distributed_training #edge_ai #federated_learning #inference_engine #machine_learning #marketplace #mlops #on_device_training #privacy #security
https://github.com/FedML-AI/FedML
https://github.com/FedML-AI/FedML
GitHub
GitHub - FedML-AI/FedML: FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated…
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs o...
#java #anti_spoofing #face_ai #face_recognition #face_search #face_verification #face_verify #liveness_detection #on_device_ai
The Umbrella FaceAI SDK is a powerful tool for Android devices that allows offline face detection, recognition, and liveness detection. It can be used in various applications like mobile attendance systems, app logins, and smart door locks. The SDK works without an internet connection, ensuring privacy by not storing or uploading sensitive facial data. This makes it secure and efficient for users who need fast and accurate face recognition capabilities on their devices. By integrating this SDK, developers can enhance user experiences while maintaining high security standards.
https://github.com/AnyLifeZLB/FaceVerificationSDK
The Umbrella FaceAI SDK is a powerful tool for Android devices that allows offline face detection, recognition, and liveness detection. It can be used in various applications like mobile attendance systems, app logins, and smart door locks. The SDK works without an internet connection, ensuring privacy by not storing or uploading sensitive facial data. This makes it secure and efficient for users who need fast and accurate face recognition capabilities on their devices. By integrating this SDK, developers can enhance user experiences while maintaining high security standards.
https://github.com/AnyLifeZLB/FaceVerificationSDK
GitHub
GitHub - FaceAISDK/FaceAISDK_Android: 离线版设备端人脸识别 动作活体、炫彩活体、近红外双目活体检测 以及1:N M:N 人脸搜索算法SDK 封装;全程可开飞行模式不用联网 🧒 on_device Face Recognition…
离线版设备端人脸识别 动作活体、炫彩活体、近红外双目活体检测 以及1:N M:N 人脸搜索算法SDK 封装;全程可开飞行模式不用联网 🧒 on_device Face Recognition 、 Liveness detection and 1:N & M:N Face Search SDK - GitHub - FaceAISDK/FaceAISDK_Android: 离...
#go #gemma3 #go #gpt_oss #granite4 #llama #llama3 #llm #on_device_ai #phi3 #qwen3 #qwen3vl #sdk #stable_diffusion #vlm
NexaSDK runs AI models locally on CPUs, GPUs, and NPUs with a single command, supports GGUF/MLX/.nexa formats, and offers NPU-first Android and macOS support for fast, multimodal (text, image, audio) inference, plus an OpenAI‑compatible API for easy integration. This gives you low-latency, private on-device AI across laptops, phones, and embedded systems, reduces cloud costs and data exposure, and lets you deploy and test new models immediately on target hardware for faster development and better user experience.
https://github.com/NexaAI/nexa-sdk
NexaSDK runs AI models locally on CPUs, GPUs, and NPUs with a single command, supports GGUF/MLX/.nexa formats, and offers NPU-first Android and macOS support for fast, multimodal (text, image, audio) inference, plus an OpenAI‑compatible API for easy integration. This gives you low-latency, private on-device AI across laptops, phones, and embedded systems, reduces cloud costs and data exposure, and lets you deploy and test new models immediately on target hardware for faster development and better user experience.
https://github.com/NexaAI/nexa-sdk
GitHub
GitHub - qualcomm/nexa-sdk: Run frontier LLMs and VLMs with day-0 model support across GPU, NPU, and CPU, with comprehensive runtime…
Run frontier LLMs and VLMs with day-0 model support across GPU, NPU, and CPU, with comprehensive runtime coverage for PC (Python/C++), mobile (Android & iOS), and Linux/IoT (Arm64 &...
#typescript #ai #ai_agents #llms #on_device_ai
Thunderbolt is an open-source AI client you control fully—you pick models like Ollama or llama.cpp, own your data, and avoid vendor lock-in. It runs on web, iOS, Android, Mac, Linux, and Windows, with enterprise features for on-prem deployment. Still early (needs your model providers and optional backend), but self-host via Docker to test. This benefits you by giving private, flexible AI access anywhere without big-tech dependency, cutting costs and risks.
https://github.com/thunderbird/thunderbolt
Thunderbolt is an open-source AI client you control fully—you pick models like Ollama or llama.cpp, own your data, and avoid vendor lock-in. It runs on web, iOS, Android, Mac, Linux, and Windows, with enterprise features for on-prem deployment. Still early (needs your model providers and optional backend), but self-host via Docker to test. This benefits you by giving private, flexible AI access anywhere without big-tech dependency, cutting costs and risks.
https://github.com/thunderbird/thunderbolt
GitHub
GitHub - thunderbird/thunderbolt: AI You Control: Choose your models. Own your data. Eliminate vendor lock-in.
AI You Control: Choose your models. Own your data. Eliminate vendor lock-in. - thunderbird/thunderbolt
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#swift #cpp #csharp #go #ios #java #lightweight #nodejs #on_device #python #rust #swift #text_to_speech #tts #web
Supertonic is a fast, lightweight text-to-speech system that runs directly on your device without needing the internet or cloud services. It supports 31 languages and works across phones, computers, browsers, and other platforms. The system is small enough to run on devices like Raspberry Pi while staying accurate and quick. You get complete privacy since everything happens locally on your device, and you can use it for free with no network dependency. It handles complex text like phone numbers and currency amounts better than many larger systems.
https://github.com/supertone-inc/supertonic
Supertonic is a fast, lightweight text-to-speech system that runs directly on your device without needing the internet or cloud services. It supports 31 languages and works across phones, computers, browsers, and other platforms. The system is small enough to run on devices like Raspberry Pi while staying accurate and quick. You get complete privacy since everything happens locally on your device, and you can use it for free with no network dependency. It handles complex text like phone numbers and currency amounts better than many larger systems.
https://github.com/supertone-inc/supertonic
GitHub
GitHub - supertone-inc/supertonic: Lightning-Fast, On-Device, Multilingual TTS — running natively via ONNX.
Lightning-Fast, On-Device, Multilingual TTS — running natively via ONNX. - supertone-inc/supertonic