https://github.com/abhinav-26/accuracy-achiever
Accuracy Achiever is an Automation Project of MLOps build by Integrating Machine Learning and DevOps.
https://github.com/abhinav-26/accuracy-achiever
accuracy-achiever devops hactoberfest hactoberfest2020 machine-learning machine-learning-with-devops mlops
Last synced: 11 months ago
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Accuracy Achiever is an Automation Project of MLOps build by Integrating Machine Learning and DevOps.
- Host: GitHub
- URL: https://github.com/abhinav-26/accuracy-achiever
- Owner: Abhinav-26
- Created: 2020-05-29T12:48:40.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2021-04-20T10:58:58.000Z (about 5 years ago)
- Last Synced: 2025-04-08T06:19:39.539Z (about 1 year ago)
- Topics: accuracy-achiever, devops, hactoberfest, hactoberfest2020, machine-learning, machine-learning-with-devops, mlops
- Language: Python
- Homepage:
- Size: 41 KB
- Stars: 3
- Watchers: 2
- Forks: 7
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Accuracy-Achiever : MLOps
In this repository I have uploaded python code which I have used for my setup of accuracy achiever. In this setup I have tried to create an environment such that It will automatically train my model and it will train utill it gets the desired accuarcy. For this setup I used DevOps tools. I have integrated DeepLearning model with DevOps tools like docker and jenkins.
In this Project I have created a docker image with deepLearning libraries like tensorflow2.0, scikit-learn, keras, etc and uploaded the image in my DockerHub Profile. I have created two images named alex43/ubuntu-tensorflow2.0 and alex43/ubuntu-deeplearning-env. For this Project I have used the deeplearning-env image.
To Download the image in your system write the command given below :
docker pull alex43/ubuntu-deeplearning-env
For the demo of this project click here.
The Project has also being recognised by Jenkins Community and you can read the complete article from here. Also I recieved swags from Jenkins Is The Way for this project.