on-device-ml

There are 2 repositories under on-device-ml topic.

NexaAI / nexa-sdk
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.
asr edge-computing language-model llm on-device-ai on-device-ml sdk sdk-python stable-diffusion transformers tts vlm whisper
Language:Python 572
sayakpaul / Adventures-in-TensorFlow-Lite
This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.
inference model-optimization model-quantization on-device-ml post-training-quantization pruning quantization-aware-training tensorflow-2 tensorflow-lite tf-hub tf-lite-model
Language:Jupyter Notebook 170
xliucs / MTTS-CAN
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement (NeurIPS 2020)
cardiovascular computer-vision deep-learning healthcare mobilehealth neurips neurips-2020 physiological-signals physiologicalsensing rppg mobile-computing on-device-ai on-device-ml ubiquitous-computing remote-physiological-measurement ppg
Language:Python 166
ubicomplab / rppg-web
This is a web demo for camera-based PPG sensing (rPPG).
computer-vision contactless deeplearning health-sensing healthcare healthcare-application mobilehealth on-device-ai on-device-ml physiological-computing remote-ppg rppg vital-signs vital-signs-detection remote-physiological-measurement ppg ppg-signal
Language:TypeScript 66
shubham0204 / Android-Document-QA
A custom RAG pipeline for multi-document QA from PDF/DOCX documents, in Android
android large-language-models on-device-ml question-answering retrieval-augmented-generation
Language:Kotlin 38
Depth-Anything-Android
shubham0204 / Depth-Anything-Android
An Android app running inference on Depth-Anything and Depth-Anything-V2
android android-application depth-anything depth-estimation on-device-ml
Language:Kotlin 30
shubham0204 / Sentence-Embeddings-Android
Embeddings from sentence-transformers in Android! Supports all-MiniLM-L6-V2, bge-small-en, snowflake-arctic models and more
android machine-learning natural-language-processing on-device-ml onnx onnxruntime sentence-embeddings sentence-transformers
Language:Kotlin 17
roboflow / inference-server-old
Object detection inference with Roboflow Train models on NVIDIA Jetson devices.
computer-vision inference machine-learning object-detection roboflow jetson nvidia-jetson jetson-nano jetson-xavier iot on-device-ai on-device-ml on-device-deep-learning realtime
Language:JavaScript 13
denissimon / distributed-model-training
Approach to implementing distributed training of an ML model: server/device training for iOS.
on-device-ml swift swift-for-tensorflow s4tf colab core-ml transfer-learning model-personalization ml machine-learning app ios-app tensorflow model-training xcode distributed ios edge-computing ai neural-network
Language:Swift 5
sid-sr / FedSMS
End-to-end on-device federated learning, "An On-Device Federated Learning System for SMS Spam Classification", IEEE MIT URTC 2022
aws docker federated-learning on-device-ml
Language:JavaScript 3
luix / SponsorMe
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.
androiddevchallenge android kotlin ml on-device-ai on-device-ml tensorflow learn-to-code sponsoring sponsorship learning
Language:Kotlin 2
Abhiek187 / MiniBrainAge
An Android app where users draw a number and machine learning does the rest
android kotlin on-device-ml mnist-classification tensorflow-lite play-games
Language:Kotlin 1
HFabi / dnnmobile
This repository is meant to be a playground for mobile deep learning.
android deep-learning ios mobile neural-network on-device-ml web
Language:Jupyter Notebook 1
ivelin / fall-detection
Python ML library for person fall detection. Intended for IoT deployments with on-device inference and on-device transfer learning.
fall-detection on-device-ml on-device-ai on-device-deep-learning transfer-learning tflite iot edge-detection edge-ml
Language:Jupyter Notebook 1
izakariyya / sim-virtual-fed-dnn
*Resource Efficient Federated Deep Learning for IoT Security Monitoring
cybersecurity deep-neural-networks federated-learning iot on-device-ml security
Language:Python 1
kyomangold / AI-GestureControl
Control your computer using hand gestures with AI, using Google's MediaPipe and OAK-D Lite camera.
computer-vision gesture-control hand-pose-estimation machine-learning on-device-ml stereo-vision
Language:Python 1
Mostafa-Nafie / Android-Image-Classifier
android classifier java on-device-ml tflite
Language:Java 1
andreapisa9 / bayesian-elm-search
As described in "Towards Full On-Tiny-Device Learning: Guided Search for a Randomly Initialized Neural Network"
bayesian-optimization extreme-learning-machine gaussian-processes mlcommons on-device-ml random-forest resnet tinyml
Language:Python 0
karayanni / Distributed-KS-Test
A system for monitoring statistical data distribution shifts in distributed settings
distri cloud data-drift data-drifts data-science edge-ml ks-test monitoring on-device-ml
Language:Jupyter Notebook 0
sanketrout / -AndroidDevChallenge
#AndroidDevChallenge
android-application androiddevchallenge on-device-ml tensorflow-lite computer-vision pipeline
0
irvingvjuarez / rockedia-paper-pipe
Rock-Paper-Scissors game, using On-Device MachineLearning.
javascript mediapipe on-device-ml reactjs typescript
Language:TypeScript