[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
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Updated
Aug 30, 2024 - C++
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Official PyTorch implementation of "EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM"
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.
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).
Recipes for on-device voice AI and local LLM
Pushing AI On-Device with GraphRAG 🚀
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.
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