A prefect extension that builds on top of the task decorator to reduce negative engineering!

Repository showcasing ML Ops practices with kubeflow and mlflow

A list of interesting bookmarks, blogs, channels, papers, and anything that can be considered as a day to day reference for an AI, DS, ML, or DL practioner. [WIP]

Project that uses AWS SageMaker to train a neural network and serve the model

Demo usage of Weights & Biases for ML Ops

Examples showcasing Flama 🔥

This machine learning pipeline project aims to develop an ML model to identify bank customer churn.

This machine learning pipeline project aims to develop an ML model to identify customer sentiment from French-language tweets on social media.

A simple Python example of a Model Service that can be fronted by the Model Sidecar

This GitHub repository showcases the implementation of a comprehensive end-to-end MLOps pipeline using Amazon SageMaker pipelines to deploy and manage 100x machine learning models. The pipeline covers data pre-processing, model training/re-training, hyperparameter tuning, data quality check,model quality check, model registry, and model deployment.

Vehicle data classification (supervised, unsupervised learning)

Sample Airflow ML Pipelines

A library of computer vision models and a streamlined framework for training them.

ORBIT SMKN 4 Bandung team repository for Turnamen Sains Data Nasional 2022 coordinated by Cybertrend Data Academy and Asosiasi Data Sains dan AI Indonesia with supported by several government agencies and universities in Indonesia.

The universal data connector

Slides of my talk "Is Your ML Model Trustworthy?" at the MLOps World Conference on the 16th of June 2021.

Dicoding Submission MLOps Heart Failure Detection using ML Pipeline, Heroku Deployment and Prometheus Monitoring

These are my personal notes regarding Machine Learning DevOps stuff

Data Science Experiments Repository of Ideas2IT