Topic: edge-machine-learning Goto Github
Some thing interesting about edge-machine-learning
Some thing interesting about edge-machine-learning
edge-machine-learning,Workshop showcasing how to run defect detection using computer vision at the edge with Amazon SageMaker
Organization: aws-samples
edge-machine-learning,A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.
Organization: bisonai
edge-machine-learning,Measure the speed of your machine learning models on real devices!
Organization: bisonai
Home Page: https://edgebenchmark.com
edge-machine-learning,Protect your Machine Learning model in your Flutter application.
Organization: bisonai
edge-machine-learning,Unofficial implementation of MobileNetV3 architecture described in paper Searching for MobileNetV3.
Organization: bisonai
edge-machine-learning,Android application recognizing digits using quantized 8-bit MobileNetV3.
Organization: bisonai
edge-machine-learning,PyTorch Mobile starter kit.
User: cedrickchee
edge-machine-learning,Identification of handwritten digitĀ from images taken byĀ aĀ OV7670 camera moduleĀ connected toĀ a Raspberry Pi Pico andĀ a 120x160 TFT LCD display. The Pi Pico running CircuitPython handles everything from image acquisition to post-processing and inference. This code is somewhat experimental, but it is fun to play with. For more information, pleaseĀ visit the project's webpage.
User: code2k13
Home Page: https://ashishware.com/2022/09/03/pipico_digit_classification/
edge-machine-learning,A tool to support using classification models in low-power and microcontroller-based embedded systems.
User: lucastsutsui
Home Page: https://pypi.org/project/embml/
edge-machine-learning,This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
Organization: microsoft
edge-machine-learning,Realtime image classification in Unity Engine.
Organization: natmlx
Home Page: https://demos.natml.ai/@natsuite/mobilenet-v2
edge-machine-learning,Soft Threshold Weight Reparameterization for Learnable Sparsity
Organization: raivnlab
Home Page: https://homes.cs.washington.edu/~kusupati/#Kusupati20
edge-machine-learning,Running VAEs on mobile and IOT devices using TFLite.
Organization: uw-cia
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
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A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.