A simple microservice application to track machine learning experiments
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Updated
May 8, 2019 - Python
A simple microservice application to track machine learning experiments
🍪 Cookiecutter template for MLOps Project. Based on: https://mlops-guide.github.io/
We provide early diagnosis of Alzheimer for those who suffer from it with Deep Learning
'Roiergasias' kubernetes operator is meant to address a fundamental requirement of any data science / machine learning project running their pipelines on Kubernetes - which is to quickly provision a declarative data pipeline (on demand) for their various project needs using simple kubectl commands. Basically, implementing the concept of No Ops. …
An ML Pipeline for Short-Term Rental Prices in NYC using Mlflow as orchestration tool and Weights&Biases as artefact storage tool.
Machine Learning MLOps Engineer course exercise.
Course 2 project of the Udacity ML DevOps Nanodegree Program
This contains the dvc files created from data versioning.
This Repository contains notebook,scripts and files for building MLops Pipeline in GCP Cloud. ☁️☁️
This project is part of the Udacity Azure ML Nanodegree. In this project, we use Azure to configure a cloud-based machine learning production model, deploy it, and consume it. We also create, publish, and consume a pipeline.
Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases with DVC and CML using Github Actions and IBM Watson. Part of the Engineering Final Project @ Insper
Fine tuning GPT2 to generate stories from text prompts, Deep Daze library integration to generate images from stories and MLOps based continuous monitoring, deployment and serving of trained model on cloud.
Example end-to-end ml pipeline build with the Sagemaker Python SDK
Automated model scoring and monitoring
Build, train and deploy NLP model for sentiment analysis of product reviews based on BERT architecture
End to end example of Metaflow and Prefect pipelines (Python)
Experimentation with different MLOps frameworks
To create, deploy, and monitor a risk assessment ML model
Repository for the Demo of using DVC with PyCaret & MLOps (DVC Office Hours - 20th Jan, 2022)
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