open source solutions

from AITS with 💝

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deepC

deepC Compiler and inference framework is designed to enable and perform deep learning neural networks by focussing on features of small form-factor devices like micro-controllers, eFPGAs, cpus and other embedded devices like raspberry-pi, odroid, arduino, SparkFun Edge, risc-V, mobile phones, x86 and arm laptops among others.

deepC-arduino

an open source deep learning framework for on-device inference adapted for arduino devices. It enables low-latency inference of on-device machine learning models with a small binary size with low memory and high performance.

traffic Vision

Deep neural network detecting cars/buses in a live traffic at a phenomenal 50 frames/sec with HD resolution (1920x1080).

food-AI

a trained network for identifying food items in the picture and counting calories of the plate.

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