Name: Tarik Redžepagić
Type: User
Company: @pickleballinc
Bio: Software Engineer @pickleballinc .
B.Sc. Electrical Engineering.
"Programs must be written for people to read, and only incidentally for machines to execute."
Location: Tuzla, Bosnia & Herzegovina
Blog: linkedin.com/in/tarikredzepagic/
Tarik Redžepagić's Projects
Python helper program to calculate first and second order autocorrelation coefficients
Image & Video colorizer using CNN
My complete "composite" logger
Cubic interpolation optimization method written in MATLAB.
Vue3 practice project from Udemy.
go language link to libzfs C library
⭐️ Companies that don't have a broken hiring process
Microservice for host availability
Optimal-system-control methods
A protobuf compiler plugin designed to generate GORM models and APIs for simple object persistence tasks.
Quadratic interpolation optimization method written in MATLAB.
RaspberryPI weather station based on BMP280 sensor
An RGB LED controller for simulating the full day light cycle run on an RPI
Another practice project, this time based on JSON, HTTP, REST..
A simple website containing a database, front-end and back-end.
A Sobel Edge Detection Filter written in OpenCL and C++.
Keil projects and libraries for STM32F4xx devices
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Simple TCP connection in Go
Simple TCP listen server in Go connected to my compositelogger
C practice project - Multithreaded & Multiprocess C server
Thread pooling and microservices practice project
Here, we will be showcasing our seminar series “CPP for Image Processing and Machine Learning” including presentations and code examples. There are image processing and machine learning libraries out there which use C++ as a base and have become industry standards (ITK for medical imaging, OpenCV for computer vision and machine learning, Eigen for linear algebra, Shogun for machine learning). The documentation provided with these packages, though extensive, assume a certain level of experience with C++. Our tutorials are intended for those people who have basic understanding of medical image processing and machine learning but who are just starting to get their toes wet with C++ (and possibly have prior experience with Python or MATLAB). Here we will be focusing on how someone with a good theoretical background in image processing and machine learning can quickly prototype algorithms using CPP and extend them to create meaningful software packages.
Simple UDP client in Go
Simple UDP server in Go
Import strings for my WoW UI.