Ahmad Jawabreh's repositories
flutter-to-do-app
Flutter-based To-Do App with SQLite integration for easy task management
ai-data-management
This repository contains a Python script that renames a set of image files in a specified directory for use in AI applications. This repository contains three Python scripts that can be used to manage machine learning data.
autogen-based-self-hosted-llm
This repository provides inference sever to host any open-source LLM, providing the user OpenAI API colpatabile inference server, and AutoGen agents with function calling.
helmet-detection
Helmet detection experiment, designed using YOLOv7 object detection model, with bicycle and motorbike helmets training data
RFID-Access
Door lock system based on RFID technology, with cloning experiment
ai-engineering-roadmap
A guide for mastering artificial intelligence. Navigate key concepts, tools, and frameworks for machine learning, deep learning, and more.
aws-claude-sonnet-assistant
A client code to create an AI assistant using AWS Claude models with Python or JavaScript and engage in a conversation with it.
masked-face-detector
This repository contains code for detecting whether a person is wearing a mask or not, using the ResNet50V2 deep learning architecture. The goal of this project is to provide an accurate and fast method for detecting whether a person is wearing a mask in real-time video streams.
openai-azure-chat-completion
A client code to create an AI assistant using Azure OpenAI Models and engage in a conversation with it.
openai-server-sent-events
A real-time streaming of OpenAI Chat Completion API responses using Server-Sent Events (SSE), demonstrating seamless backend-to-frontend content delivery for an interactive AI chat experience.
CV-data-collection-algorithm
Python script to automatically collect data from the internet. This script has been utilized to gather training samples for AI projects to create a comprehensive training dataset
flight-info-retriver
Python script offers a straightforward solution for locating flights based on user-specified criteria, including the origin city, destination city, and departure time. It harnesses the power of the AviationStack API to seamlessly retrieve accurate flight data.
local-llm-with-function-calling
A language model that can interpret and execute functions/tools.
masked-face-decision-algorithm
Machine Learning Algorithm to classify an input face from image, video or live stream to masked and unmasked face, this algorithm is sub algorithm of HumaneX Masked Face Recognition Pipeline prepared for HumaneX Eco System
NumPy-handbook
Numerical Python, working with numerical data in Python, going from Python lists to Numpy arrays, CSV data files using Numpy, and etc..
pandas-handbook
Reading a CSV file into a Pandas data frame, Retrieving data from Pandas data frames, Querying, sorting, and analyzing data, Merging, grouping, and aggregation of data, Extracting useful information from dates, Basic plotting using line and bar charts, Writing data frames to CSV files
python-handbook
A comprehensive notebook documenting my Python learning journey, offering all the essentials in Python
python-send-email
Python script that facilitates the sending of emails directly from the command line.
rag-with-postgresql
A RAG application for Cyprus Codes
send-email-nodemailer
A simple Node.js email sender using Nodemailer. Easily configure and send emails through Gmail SMTP.
stream-openai-completion
JavaScript and Python examples of straming a chat completion with openai chat completion api
tweets-naive-bayes
A tweets classifier designed to classify the tweets into harmful and normal (not-harmful) tweets according to their content (as a text)
tweets-svm-classifier
A tweets classifier designed to classify the tweets into harmful and normal (not-harmful) tweets according to their content (as a text)
video-frames-splitter
A Python code captures frames from a video file and saves them as individual images in JPEG format. It uses the OpenCV library to read frames from the video file and write them to disk.
yolov9
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information