Topic: on-device-ml Goto Github
Some thing interesting about on-device-ml
Some thing interesting about on-device-ml
on-device-ml,An Android app where users draw a number and machine learning does the rest
User: abhiek187
Home Page: https://play.google.com/store/apps/details?id=com.abhi.minibrainage
on-device-ml,As described in "Towards Full On-Tiny-Device Learning: Guided Search for a Randomly Initialized Neural Network"
User: andreapisa9
on-device-ml,Approach to implementing distributed training of an ML model: server/device training for iOS.
User: denissimon
on-device-ml,This repository is meant to be a playground for mobile deep learning.
User: hfabi
on-device-ml,Rock-Paper-Scissors game, using On-Device MachineLearning.
User: irvingvjuarez
on-device-ml,*Resource Efficient Federated Deep Learning for IoT Security Monitoring
User: izakariyya
Home Page: https://link.springer.com/chapter/10.1007/978-3-031-21311-3_6
on-device-ml,A system for monitoring statistical data distribution shifts in distributed settings
User: karayanni
on-device-ml,Control your computer using hand gestures with AI, using Google's MediaPipe and OAK-D Lite camera.
User: kyomangold
on-device-ml,SponsorMe is a project to help provide access to digital tools for learning, powered by on-device machine learning, innovation and willingness, to those people that have limited access to technology due to demographics, disabilities, economy or other multiple reasons.
User: luix
on-device-ml,
User: mostafa-nafie
on-device-ml,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.
Organization: nexaai
Home Page: https://docs.nexaai.com/
on-device-ml,Object detection inference with Roboflow Train models on NVIDIA Jetson devices.
Organization: roboflow
Home Page: https://docs.roboflow.com/inference/nvidia-jetson
on-device-ml,#AndroidDevChallenge
User: sanketrout
on-device-ml,This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.
User: sayakpaul
on-device-ml,A custom RAG pipeline for multi-document QA from PDF/DOCX documents, in Android
User: shubham0204
on-device-ml,An Android app running inference on Depth-Anything and Depth-Anything-V2
User: shubham0204
on-device-ml,Embeddings from sentence-transformers in Android! Supports all-MiniLM-L6-V2, bge-small-en, snowflake-arctic models and more
User: shubham0204
Home Page: https://proandroiddev.com/from-python-to-android-hf-sentence-transformers-embeddings-1ecea0ce94d8
on-device-ml,End-to-end on-device federated learning, "An On-Device Federated Learning System for SMS Spam Classification", IEEE MIT URTC 2022
User: sid-sr
Home Page: https://ieeexplore.ieee.org/document/10002231
on-device-ml,This is a web demo for camera-based PPG sensing (rPPG).
Organization: ubicomplab
Home Page: https://vitals.cs.washington.edu/
on-device-ml,Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement (NeurIPS 2020)
User: xliucs
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