MLOps for Vision Models (TensorFlow) from 🤗 Transformers with TensorFlow Extended (TFX)
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Updated
Oct 5, 2022 - Jupyter Notebook
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.
TFX Machine Learning Pipeline - Grade Multiclass
End to End Machine Learning Pipelines using Tensorflow Extended.
Machine Learning Operations - Disaster Tweets Classification
🌀 #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.
A production ready ML pipeline on Google Cloud Platform using Tensorflow Extended (TFX), Apache Beam, Kubeflow & BigQuery.
Submission of final assignment on heart disease prediction.
Demonstration of using tensorflow extended.
Submission of the first task on classification of fake news.
First submission Dicoding Machine Learning operations on reviewing IMBD comments using Tensorflow Extended
Productionizing ML Models using a variety of tools including FastAPI, Flask, Doocker, AWS, GCP, TensorFlow Extended (TFX), and TF.js.
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