eljandoubi

AI-Photo-Editing-with-Inpainting

A web app that allows you to select a subject and then change its background, OR keep the background and change the subject.

DogBreedClassificationAWS

Use AWS Sagemaker to train a pretrained model that can perform image classification by using the Sagemaker profiling, debugger, hyperparameter tuning and other good ML engineering practices.

Landmark-Classification-Tagging-for-Social-Media

a CNN-powered app to automatically predict the location of the image based on any landmarks depicted in the image.

MADDPG-for-Collaboration-and-Competition

An implementation of MADDPG multi-agent to solve a Unity environment like Tennis and Soccer.

ACPR-BANK-PROFIT-NAVIGATOR

BANK PROFIT NAVIGATOR : Extraction of crucial financial metrics from financial reports.

Airflow-data-pipeline

Airflow data pipeline

AWS-Data-Warehouse

Build an ETL pipeline for a database hosted on AWS Redshift.

Breakout-Strategy

Implementation of the Breakout Strategy

build-ml-pipeline-for-short-term-rental-prices

Build an ML Pipeline for Short-Term Rental Prices in NYC

Copilot

Homemade Copilot: Fine-tune LLM through LoftQ initialization and QLoRA-style training for code generation.

genre_classification

Create an ML pipeline for Genre Classification using MLflow.

huggingface_image_classifier

Fine-tune the Vision Transformer (ViT) using LoRA and Optuna for hyperparameter search.

Sparkify

Utilize Apache Spark for ETL processes to prepare data, followed by the construction of a Machine Learning model for Natural Language Processing (NLP) classification. Subsequently, deploy the model within a Gradio web application for seamless interaction.

aws-human-balance-analytics

Using AWS Glue, AWS S3, Python, and Spark, create or generate Python scripts to build a lakehouse solution in AWS

Azure-Machine-Learning-Engineer

building-a-reproducible-model-workflow

CRM-Backend

Simple CRM backend written in Go

deploy-ml

Deploying a ML Model to Cloud Application Platform with FastAPI

Dynamic_Risk_Assessment_System

ML Model Scoring and Monitoring

Face-Generation

Generate new faces using Generative Adversarial Networks (GANs).

Facial-Keypoint-Detection

In that project, I combined my knowledge of computer vision techniques and deep learning architectures to build a facial keypoint detection system. It was designed to take in any image with faces and predict the location of 68 distinguishing keypoints on each face.

ice_breaker

Image-Captioning

Uses a CNN Encoder and a RNN Decoder to generate captions for input images.

Inventory-Monitoring-at-Distribution-Centers

multi-cloud

Deploy an app to multi-cloud

Operationalizing-Machine-Learning-with-AZURE-ML

Optimizing_a_Pipeline_in_Azure-ML

This project is a component of the Udacity Azure ML Nanodegree. It entails the construction and refinement of an Azure ML pipeline utilizing the Python SDK and a provided Scikit-learn model. The ensuing model is then evaluated against an Azure AutoML run.

Predict-Customer-Churn-with-Clean-Code

Clean Code Principles

Server-Deployment-and-Containerization

In this project I will containerize and deploy a Flask API to a Kubernetes cluster using Docker, AWS EKS, CodePipeline, and CodeBuild.

Sudoku

Sudoku-solving agent