Murat Bayraktar (MB-MuratBayraktar)

MB-MuratBayraktar

Geek Repo

Company:Prodato

Location:Germany

Home Page:https://www.linkedin.com/in/mr-muratbayraktar/

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Murat Bayraktar's repositories

ByteTrack-MOT-with-UI-YOLOX-

This repository is intended to focus on analyzing the instances movements in a scenario using multiple object tracking with ByteTrack and YOLOX approach.

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ADAS

ADAS (Advanced Driver Assistance System) is a program that assists the driver during the trip by analyzing pedestrians movements and drivers actions

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PlateDetector

This repository is dedicated to develop a program that detects nigerian plates and extracts their numbers accordingly using deep learning

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amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

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awesome-mlops

A curated list of references for MLOps

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courseTester

this is a demo repository

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deploy-ml-mlflow-aws

Deploying Models to Production with Mlflow and AWS Sagemaker

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Extracting-data-using-API

Extracting data and create dataset using API

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HumanDetection

This repository will contain several methods to detect human presence in a ship (using faces/body/openPose)

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Intro-Transformer-BERT

Introduction to Transformers and BERT

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it-cert-automation-practice

Google IT Automation with Python Professional Certificate - Practice files

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MLOpsPython

MLOps using Azure ML Services and Azure DevOps

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provider_todo

Implementation of Provider State Management

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SageMaker_MLFlow-Projects

This repo will contain what I am learning and what I practice in automating ML flows using AWS SageMaker and MLflow

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terraform-sagemaker-sample-1

a sample repository for terraform to run Amazon SageMaker notebook part 1

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tf-fraud-detection-using-machine-learning

Use Terraform to set up infrastructure described in AWS's example of fraud detection with SageMaker. https://docs.aws.amazon.com/solutions/latest/fraud-detection-using-machine-learning/architecture.html

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yolov4-deepsort

Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.

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