Cross-platform, customizable ML solutions for live and streaming media.
- mediapipe
- c-plus-plus
- computer-vision
- deep-learning
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Cross-platform, customizable ML solutions for live and streaming media.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
ncnn is a high-performance neural network inference framework optimized for the mobile platform
AI that sees your screen, listens to your conversations and tells you what to do
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
:stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)
Lightweight AI-friendly Docker Swarm management
The Swiss Army Knife of Offline AI. Chat, see, speak, and generate images on your phone or Mac — GGUF LLMs, vision, Whisper speech-to-text, Stable Diffusion, tool calling, and local-network servers. Runs on your CPU, GPU, or NPU. No account, no API key, zero data leaves your device.
Live Helper Chat - live support for your website. Featuring web and mobile apps, Voice & Video & ScreenShare. Supports Telegram, Twilio (whatsapp), Facebook messenger including building a bot.
Library for Fast and Flexible Human Pose Estimation
:dancer: Real-time single person pose estimation for Android and iOS.
High level network definitions with pre-trained weights in TensorFlow
The MobileNet neural network using Apple's new CoreML framework
Project tracking of the "Mobile ML Working Group", for the End-to-End TensorFlow Lite tutorials.
Examples of Tensorflow Lite on Android
Mobile Deep Learning Projects, published by Packt
Enterprise-grade platform to generate and execute Cypress, Playwright, WebdriverIO, and Appium end-to-end tests from natural language requirements. (Appium is experimental and requires external mobile infrastructure.)
American Sign Language Detection is a deep learning end to end project where we can detect American Sign Language.
MIRNet model is used to enhance a low-light image. Implemented MIR-Net model with TF-Lite.
OtosakuStreamingASR-iOS is a real-time speech recognition engine for iOS, built with Swift and Core ML. It uses a fast and lightweight streaming Conformer model optimized for on-device inference. Designed for developers who need efficient audio transcription on mobile.
Ceci n'est pas une pomme - Deep Learning on mobile device
A text classification iOS app using tensorflow lite