GitHub topics: on-device-deep-learning
afondiel/Intro-to-On-Device-AI-Qualcomm
A comprehensive set of notes and resources for a crash course on deploying AI models on edge devices, provided by DeepLearningAI and taught by Krishna Sridhar from Qualcomm.
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AMI-system/species_classifier
This repository contains the code to create on-device machine learning models for species classification.
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sonhm3029/On-device-training-tensorflowlite
This project is simple training tensorflowlite on mobile device - android for braintumor classification
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rishabh01solanki/core-models_python
Custom core models with updatable layers for on device learning
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roboflow/inference-server-old 📦
Object detection inference with Roboflow Train models on NVIDIA Jetson devices.
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fabrizioaymone/suitability-of-Forward-Forward-and-PEPITA-learning
This repository contains the spreadsheet of the quantitative analysis performed for the paper "Suitability of Forward-Forward and PEPITA Learning to MLCommons-Tiny benchmarks".
Size: 587 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
ivelin/fall-detection Fork of ambianic/fall-detection
Python ML library for person fall detection. Intended for IoT deployments with on-device inference and on-device transfer learning.
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gauthamkrishna-g/HARNet
HARNet: Towards On-Device Incremental Learning using Deep Ensembles on Constrained Devices for Human Activity Recognition
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