haythemtellili

amazon-sagemaker-cicd

CI/CD pipeline with Amazon SageMaker and Github actions

llm-summarization-evaluation

This repository contains code for utilizing Large Language Models (LLMs) to summarize documents. It also includes a method for evaluating the quality of summarization, inspired by the concepts presented in this paper: https://arxiv.org/pdf/2004.04228.pdf.

Machine-learning-pipeline

End to End ML pipelines with MLflow

ml-workflow-orchestration

Simple ML workflow orchestration using Prefect

MLflow-tracking-component-pytorch

Image classification with Pytorch and the use of MLflow to track experiments

mlops-azure

This repository provides a comprehensive solution for establishing infrastructure using Terraform, training machine learning models, deploying them, monitoring the endpoints using various Azure services, and configuring CI/CD pipelines to orchestrate workflows

NLP-Deployment-Kubernetes

Deploy NLP multilabel model with Kubernetes locally using kind for testing

NLP-Multilabel-classification

Train Multilabel NLP Classification using Pytroch and huggingface with deployment using Amazon SageMaker

haythemtellili/amazon-sagemaker-cicd

CI/CD pipeline with Amazon SageMaker and Github actions

haythemtellili/Machine-learning-pipeline

End to End ML pipelines with MLflow

haythemtellili/NLP-Multilabel-classification

Train Multilabel NLP Classification using Pytroch and huggingface with deployment using Amazon SageMaker

haythemtellili/ml-workflow-orchestration

Simple ML workflow orchestration using Prefect

haythemtellili/llm-summarization-evaluation

This repository contains code for utilizing Large Language Models (LLMs) to summarize documents. It also includes a method for evaluating the quality of summarization, inspired by the concepts presented in this paper: https://arxiv.org/pdf/2004.04228.pdf.

haythemtellili/MLflow-tracking-component-pytorch

Image classification with Pytorch and the use of MLflow to track experiments

haythemtellili/mlops-azure

This repository provides a comprehensive solution for establishing infrastructure using Terraform, training machine learning models, deploying them, monitoring the endpoints using various Azure services, and configuring CI/CD pipelines to orchestrate workflows

haythemtellili/NLP-Deployment-Kubernetes

Deploy NLP multilabel model with Kubernetes locally using kind for testing

haythemtellili/amazon-sagemaker-custom-container

haythemtellili/annotated_deep_learning_paper_implementations

🧑‍🏫 50! 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, ... 🧠

haythemtellili/argocd-flask-app

haythemtellili/argocd-flask-app-config

haythemtellili/argocd-node-app-config

haythemtellili/az-data-factory-terraform

set-up Azure Data Factory with Terraform

haythemtellili/haythemtellili

haythemtellili/llmops-gha-demo

haythemtellili/mlflow-example

This repository provides an example of dataset preprocessing, GBRT (Gradient Boosted Regression Tree) model training and evaluation, model tuning and finally model serving (REST API) in a containerized environment using MLflow tracking, projects and models modules.

haythemtellili/springboot-app