[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
-
Updated
Aug 30, 2024 - C++
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Nexa SDK is a comprehensive toolkit for supporting ONNX and GGML models. It supports text generation, image generation, vision-language models (VLM), auto-speech-recognition (ASR), and text-to-speech (TTS) capabilities.
Official PyTorch implementation of "EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM"
TinyChatEngine: On-Device LLM Inference Library
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
On-device Neural Engine
A ready-to-use, minimal app that converts any speech into text.
Android Voice Activity Detection (VAD) library. Supports WebRTC VAD GMM, Silero VAD DNN, Yamnet VAD DNN models.
AubAI brings you on-device gen-AI capabilities, including offline text generation and more, directly within your app.
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement (NeurIPS 2020)
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Source code for my blog post series "On-device training with Core ML"
This is a web demo for camera-based PPG sensing (rPPG).
Unleash the power of GraphRAG 🚀
Recipes for on-device voice AI and local LLM
Simplified AI runtime integration for mobile app development
Binary Neural Network on IceStick FPGA.
Kotlin bindings for Edgerunner
Object detection inference with Roboflow Train models on NVIDIA Jetson devices.
A Google Photos alternative, where your pictures never leave your phone! Classification happens on-device, leveraging pre-trained models. Available for Android and iOS.
Add a description, image, and links to the on-device-ai topic page so that developers can more easily learn about it.
To associate your repository with the on-device-ai topic, visit your repo's landing page and select "manage topics."