Topic: embedded-ai Goto Github
Some thing interesting about embedded-ai
Some thing interesting about embedded-ai
embedded-ai,Here we present the trained model and the algorithm that let us win the ICIAP2023 ONFIRE contest
Organization: ai-firebusters
embedded-ai,web site of AI-performance. https://ai-performance.gitee.io/
Organization: ai-performance
Home Page: https://ai-performance.gitee.io/
embedded-ai,benchmark for embededded-ai deep learning inference engines, such as NCNN / TNN / MNN / TensorFlow Lite etc.
Organization: ai-performance
Home Page: https://www.ai-performance.com
embedded-ai,Explore NVIDIA Jetson AGX Xavier.
User: becauseofai
Home Page: https://nvidia-xavier.readthedocs.io
embedded-ai,This project focuses on developing a method to measure human height using ultrasound sensors under challenging conditions caused by dense scalp hair.
User: chathuracns
embedded-ai,Embedded and mobile deep learning research resources
User: csarron
embedded-ai,Guide to deploying neural networks in VST plugins, with a specific focus on embedded devices using the Elk Audio OS
User: domenicostefani
Home Page: http://work.domenicostefani.com/
embedded-ai,JUCE Template plugins to use TensorFlow lite for deep learning inference
User: domenicostefani
Home Page: https://domenicostefani.com/phd_research.html
embedded-ai,
Organization: embedded-machine-learning
embedded-ai,Predict wine quality using a deep neural network model and STM Embedded AI
User: faty2000
embedded-ai,MicroAI™ is an AI engine that can operate on low power edge and endpoint devices. It can learn the pattern of any and all time series data and can be used to detect anomalies or abnormalities, make one step ahead predictions/forecasts, and calculate the remaining life of entities (whether it is industrial machinery, small devices or the like).
Organization: microaiinc
embedded-ai,MicroAI™ is an AI engine that can operate on low power edge and endpoint devices. It can learn the pattern of any and all time series data and can be used to detect anomalies or abnormalities, make one step ahead predictions/forecasts, and calculate the remaining life of entities (whether it is industrial machinery, small devices or the like).
Organization: microaiinc
embedded-ai,A curated list of awesome embedded programming.
User: nhivp
Home Page: https://nhivp.github.io/Awesome-Embedded/
embedded-ai,Transfer Learning and Embedded AI with Pytorch
User: onaly
embedded-ai,NPRACH UAD Neural Network implementation in Fixed point C.
User: shwetakirantotla
embedded-ai,This project focuses on the implementation of optimized Linear and DNN regression models for inter-vehicle distance prediction in a Cooperative Adaptive Cruise Control (CACC) application. It leverages Tensorflow Lite to create optimized models through quantization and pruning for realtime inferencing on Raspberry Pi and On-board Unit (OBU) of Connected Autonomous Vehicles.
User: simeonbabatunde
embedded-ai,Speech Recognition using STM32 and Machine Learning
User: stgloorious
embedded-ai,This is an open source project on the deployment of deep learning to embedded microprocessors. The project establishes a data set for obstacle recognition of blind travel environment, and trains a simplified MoblieNet model in TensorFlow. Finally, the binary file of the model is deployed on the UNCLEO-STM32H7A3ZIT-Q development board to realize the function of obstacle detection of blind travel environment.
User: uncle-tt
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