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face-mask-detection

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

fpga_caffe

gemx

grlib

hackster

Files used with hackster examples

haddoc2

Caffe to VHDL - by DREAM research group

hand-keypoint-detection

Hand and Keypoint detection by caffe.

have-fun-with-machine-learning

An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

identifying-brazilian-coins-with-cnn

Using CNN to train model and identify value of Brazilian coins with image recognition

jetson-inference

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

jetson-nano-object-detection_tf-trt

Real time object detection using tensorflow for Jetson Nano. Model in used is Mobilenet_SSD_V2 trained on COCO dataset and optimized using TensorRT (Tensorflow, TF-TRT)

jetson-trt-yolov5

Build and run yolov5s-TRT on Jetson devices

jetson_nano_detection_and_tracking

Jetson Nano ML install scripts, automated optimization of robotics detection models, and filter-based tracking of detections

kms_vl_all_aio

Smart Activation Script

lessons

📚 Learn ML with clean code, simplified math and illustrative visuals. As you learn, work on interesting projects and share them on https://madewithml.com for the community to discover and learn from!

libfixmath

Cross Platform Fixed Point Maths Library

livelossplot

Live training loss plot in Jupyter Notebook for Keras, PyTorch and others

lq-nets

LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks

lsquantization

The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)

matmult_vhdl

Matrix Multiplication in VHDL

matrix-multiplication

Design for 4 x 4 Matrix Multiplication using Verilog

medium

A collection of Medium posts

memory-mapped-driver

Memory mapper driver to access AXI lite IP core on Zybo with petalinux.

microzed-chronicles

Source code from the MicroZed Chronicles blog hosted by Xcell Daily Blog

ml-kws-for-mcu

Keyword spotting on Arm Cortex-M Microcontrollers

nalu

Implementation of NALU and NAC

nativefier

Wrap single-page web apps on Windows, OSX and Linux natively with Electron

neon

Intel® Nervana™ reference deep learning framework committed to best performance on all hardware

neural-network-in-embedded-systems

This Project aims to test the computation efficiency of the feed forward Neural Network (NN) algorithm in Embedded System using standard datasets. It started by a simple perceptron to a fully connected neural network. Using STM32F0, because of its RAM capacity (8KB) instead of ATMEGA32 (2KB), we loaded our model to the chip and let it to do the computation process to output the results as blinking LEDS., then we record the results.