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amazon-sagemaker-cicd

CI/CD pipeline with Amazon SageMaker and Github actions

amazon-sagemaker-custom-container

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, ... 🧠

argocd-flask-app

argocd-flask-app-config

argocd-node-app-config

az-data-factory-terraform

set-up Azure Data Factory with Terraform

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.

llmops-gha-demo

machine-learning-pipeline

End to End ML pipelines with MLflow

ml-workflow-orchestration

Simple ML workflow orchestration using Prefect

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.

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

springboot-app