adas

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

amazon-sagemaker-examples

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

awesome-mlops

A curated list of references for MLOps

aws-cli-cheatsheet

Common AWS CLI Commands

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.

cargocompany

coursetester

this is a demo repository

deploy-ml-mlflow-aws

Deploying Models to Production with Mlflow and AWS Sagemaker

detecting-data-drift-in-nlp-using-amazon-sagemaker-custom-model-monitor

NLP Datadrift in sagemaker

extracting-data-using-api

Extracting data and create dataset using API

humandetection

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

ingev-magazine

intro-transformer-bert

Introduction to Transformers and BERT

it-cert-automation-practice

Google IT Automation with Python Professional Certificate - Practice files

latex-iubh-template

mb-muratbayraktar

mlops-aws-template

this template shows the implementatin of an mlops cycle with metrics monitoring using grafana/evidently and prometheus

mlopspython

MLOps using Azure ML Services and Azure DevOps

mock-up

mock-up repo

onlineschool

platedetector

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

provider_todo

Implementation of Provider State Management

rapids

this repo is used for tracking rapids pipeline in DAGsHub

rasa_bookings

Chatbot built on RASA to implement a conversation between a customer and AI to book a reservation

sagemaker_mlflow-projects

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

terraform-sagemaker-sample-1

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

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

yolov4-deepsort

Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.