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AbdelKarim ELJANDOUBI's Projects

build-a-ml-workflow-for-scones-unlimited-on-amazon-sagemaker icon build-a-ml-workflow-for-scones-unlimited-on-amazon-sagemaker

In this project, I've used AWS Sagemaker to build an image classification model that can tell bicycles apart from motorcycles. And I've deployed the model, using AWS Lambda functions to build supporting services, and AWS Step Functions to compose the model and services into an event-driven application.

copilot icon copilot

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

deploy-ml icon deploy-ml

Deploying a ML Model to Cloud Application Platform with FastAPI

disasterresponsepipeline icon disasterresponsepipeline

Project aim is to build a Natural Language Processing (NLP) model to categorize messages on a real time basis.

dogbreedclassificationaws icon 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.

dqn-for-navigation icon dqn-for-navigation

An implementation of Deep Q-Learning Network for solving a Unity environment that can navigate and collect bananas in a large, square world.

facial-keypoint-detection icon 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.

hybrid-rl-platform icon hybrid-rl-platform

Utilize Reinforcement Learning (RL) to address challenges in the platform environment characterized by a hybrid action space.

image-captioning icon image-captioning

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

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