mlubbad Goto Github PK

followers: 5.0 following: 9.0 repos: 90.0 gists: 0.0

Name: Mohammed Lubbad

Type: User

Company: Erciyes University

Bio: Data Scientist, AI Engineer, CTO, Research Assistant, Senior Software Engineer

Twitter: engmlubbad

Location: Istanbul

Blog: https://mlubbad.co

Hi there 👋 I'm Mohammed A. Lubbad

Research Assistant at Erciyes University

As a Chief Technology Officer at 2P PR & Digital Marketing, I lead the technical strategy and manage the agency's technology resources. I have over 4 years of experience developing and executing a technology roadmap that aligns with the agency's business goals, overseeing the development of technical infrastructure and systems, and collaborating with the agency's leadership team to understand the business's and its clients' needs.

I am also a Research Assistant in ERU at Erciyes University, where I work with a team of data scientists to implement ML-based solutions to real-world problems. I have a broad knowledge of data analysis techniques and a basic understanding of statistics. I am pursuing my Ph.D. in Computer Engineering, focusing on recognition of dental implant systems using deep learning networks. My research interests include machine learning, computer vision, and image processing.

I was a senior software engineer able to build a software presence from the ground up - from concept, navigation, layout and programming. Skilled at writing well-designed, testable and efficient code using current best practices in Web development. Fast learner, hard worker and team player proficient in various scripting languages and multimedia Web tools.

My mission is to help businesses monetize their big data by applying machine learning and predictive modeling techniques to solve real-world business problems. I am passionate about finding innovative and effective ways to leverage data and technology to create value and impact. I am always eager to learn new skills and tools, and to collaborate with other professionals and researchers in the field.

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⭐️ From @mlubbad

Mohammed Lubbad's Projects

10-steps-to-become-a-data-scientist

📢 Ready to learn! You will learn 10 skills as data scientist: 📚 Python, Machine Learning, Deep Learning, Data Cleaning, EDA, python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.

ai-brainstore

A proof-of-concept of a brain for an AI agent.

ai-roadmaps

analyzing_the_impact_of_recession_on_automobile_sales

Analyzing the Impact of Recession on Automobile Sales

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

arabic-tts

Arabic TTS ( الناطق العربي )

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-notebooks

Ready to use data science templates, organized by tools to jumpstart your projects and data products in minutes. 😎 published by the Naas community.

awesome-profile-readme-templates

A collection of awesome readme templates to display on your profile

babyagi

bedrock

WordPress boilerplate with Composer, easier configuration, and an improved folder structure

begin-latex-in-minutes

📜 Brief Intro to LaTeX for beginners that helps you use LaTeX with ease. Comments and Contributions are welcomed :thumbsup:

bookcars

Open Source Car Rental Platform with Mobile App

build-your-own-ai-assistant-solution-accelerator

Solution Accelerator to show how to build your own AI Assistant

business-analysis-and-forecasting

Business Forecasting is one of the applications of Time Series Forecasting. In Business Forecasting, we aim to forecast future sales, expenditure, or revenue by using the historical Time Series data generated by the business. So, if you want to learn how to perform business forecasting, this article is for you.

camelbert

Code and models for "The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models". EACL 2021, WANLP.

chatbot-ui

An open source ChatGPT UI.

chatgpt-advanced

A browser extension that augments your ChatGPT prompts with web results.

chatgpt-retrieval-plugin

The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.

coca-pytorch

Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch

copywriterproai-backend

World’s first Open Source AI content writing platform that empowers users to create SEO-friendly blog posts, ad copy for social media, website landing pages, and more.

copywriterproai-frontend

world’s first Open Source AI content writing platform that empowers users to create SEO-friendly blog posts, ad copy for social media, website landing pages, and more.

corenet

CoreNet: A library for training deep neural networks

cover-agent

CodiumAI Cover-Agent: An AI-Powered Tool for Automated Test Generation and Code Coverage Enhancement! 💻🤖🧪🐞

cx_freeze

cx_Freeze creates standalone executables from Python scripts, with the same performance, is cross-platform and should work on any platform that Python itself works on.

datascienceecosystem

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

dnnlab

My Work inPhD

dojo_rules

ecoute

Ecoute is a live transcription tool that provides real-time transcripts for both the user's microphone input (You) and the user's speakers output (Speaker) in a textbox. It also generates a suggested response using OpenAI's GPT-3.5 for the user to say based on the live transcription of the conversation.