Baciu Vlad-Eusebiu's repositories

Sensorless-BLDC-controller

Bachelor thesis code

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OFDM-basic-transmiter-receiver

OFDM transmiter/receiver. Matlab simulation and modeling.

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MLino-Bench

Evaluate machine learning models on resource-constrained devices

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ILSF

ILSF PPG project repo

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LMS-filter-for-ECG-signals

ECG noisy signal filtering method - LPF, HPF, LMS filters

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PPG-EduKit

An Adjustable Photoplethysmography Evaluation System for Educational Activities

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template_matching_vivado_HLS

Vivado HLS - C/C++ based design

ML-PPG-EduKit

Neural Networks on PsoC 6

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ADC_Sampler

Use DMA adc and interrupt for fast analog read with Arduino DUE

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anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

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Arduino-Makefile

Makefile for Arduino sketches. It defines the workflows for compiling code, flashing it to Arduino and even communicating through Serial.

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label-studio-timeseries

Label Studio is a multi-type data labeling and annotation tool with standardized output format

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LaTex_CV

LaTex Curriculum Vitae

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Machine-Learning-with-Python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

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mbedtls

An open source, portable, easy to use, readable and flexible TLS library, and reference implementation of the PSA Cryptography API.

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mw_pgg_python

Python Heart Rate Analysis Package, for both PPG and ECG signals

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mw_ppg_tauno-serial-plotter

Serial Plotter for MW-PPG applications

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non_restoring_division

DIVISION WITHOUT RESTAURATION

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Segade

A supervised machine learning semantic segmentation approach for detecting artifacts in plethysmography signals from wearables

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Sensorless-BLDC-HW

Bachelor thesis project

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tinyml-example-anomaly-detection

TinyML example showing how to do anomaly detection with Python and Arduino

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tsfresh

Automatic extraction of relevant features from time series:

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TSL-MW-PPG

Supervised learning tool for interactive labelling of time series of MW-PPG signals

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vladBaciu

Config files for my GitHub profile.

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x86-bare-metal-examples

Dozens of minimal operating systems to learn x86 system programming. Tested on Ubuntu 17.10 host in QEMU 2.10 and real hardware. Userland cheat at: https://github.com/************/linux-kernel-module-cheat#userland-assembly ARM baremetal setup at: https://github.com/************/linux-kernel-module-cheat#baremetal-setup 学习x86系统编程的数十个最小操作系统。 已在QEMU 2.10中的Ubuntu 17.10主机和真实硬件上进行了测试。 Userland作弊网址:https://github.com/************/linux-kernel-module-cheat#userland-assembly ARM裸机安装程序位于:https://github.com/************/linux-kernel-module-cheat#baremetal- 设置

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