MLOps for Vision Models (TensorFlow) from 🤗 Transformers with TensorFlow Extended (TFX)

Coursera Machine Learning Engineering for Production Specialization Course

This repository holds files and scripts for incorporating simple CI/CD practices for model training in ML.

MLOps End-to-End pipeline using TFX

Some collected and improved Jupyter Notebook Templates for MLOps, mainly for Kubeflow pipelines on GCP Vertex AI platform and Tensorflow Extended pipelines.

Machine Learning Operations - Disaster Tweets Classification

End to End Machine Learning Pipelines using Tensorflow Extended.

TFX Machine Learning Pipeline for Grade Multiclass, using all components including ExampleGen, StatisticsGen, SchemaGen, ExampleValidator, Transform, Tuner, Trainer, Resolver, Evaluator, and Pusher, followed by local deployment via Docker.

A production ready ML pipeline on Google Cloud Platform using Tensorflow Extended (TFX), Apache Beam, Kubeflow & BigQuery.

🌀 #12. "Machine Learning Operations (MLOps) - Airline Passenger Satisfaction Prediction"

This machine learning tool mainly focus on using `Tensorflow Extended` library to train machine learning model using data from various data storage.

This repo is the Machine Learning Pipeline Development project from Dicoding’s MLOps course. It builds a simple TFX pipeline including ExampleGen, StatisticsGen, SchemaGen, ExampleValidator, Transform, Trainer, Resolver, Evaluator, and Pusher, demonstrating end-to-end automated ML workflow from data ingestion to model deployment.

This repo is the final project from Dicoding’s MLOps course, building a TFX pipeline for classifying introvert vs extrovert personalities. It includes ExampleGen, StatisticsGen, SchemaGen, ExampleValidator, Transform, Trainer, Resolver, Evaluator, Pusher. Runs on Apache Beam, deployed on Railway, monitored with Prometheus, and tested via notebook.

Submission of final assignment on heart disease prediction.

Submission 1 of "Machine Learning Operations (MLOps)" course from Dicoding Indonesia. Creating machine learning pipeline using TensorFlow-Extended (TFX)

Productionizing ML Models using a variety of tools including FastAPI, Flask, Doocker, AWS, GCP, TensorFlow Extended (TFX), and TF.js.

Submission of the first task on classification of fake news.

First submission Dicoding Machine Learning operations on reviewing IMBD comments using Tensorflow Extended

End-to-end MLOps for house price prediction using TFX, Apache Beam, Docker, Cloud Run, and Streamlit.