GetInData
Machine Learning Framework
Machine Learning Framework
The administrator of your personal data is GetInData Poland Sp. z o.o. with its registered seat in Warsaw (02-508), 39/20 Pulawska St. Your data is processed for the purpose of provision of electronic services in accordance with the Terms & Conditions. For more information on personal data processing and your rights please see Privacy Policy.
By submitting this form, you agree to our Terms & Conditions and Privacy Policy
By submitting this form, you agree to our Terms & Conditions and Privacy Policy
Best Practices + Technologies = Working ML Blueprints
Check the repository on GitHub
What is GID Machine Learning Framework and what it is not?
GetInData ML Framework is a set of complete blueprints for solving typical machine learning problems. It leverages best-in-class open source technologies and materializes best practices for structuring and developing machine learning solutions.
ML Framework is not another black-box "ML Platform"
For who?
ML Framework is an open-source project designed to help data scientists and machine learning engineers streamline their workflow with reusable building blocks, best practices, and guidelines
We want to make data scientists' and machine learning engineers' job more efficient. The framework provides reusable building blocks, best practices, and guidelines that can be used to streamline any data science workflow. It's designed for experts who want to work smarter, not harder.
GID ML Framework is developed by data science consultants, who use it to improve their own workflow and make their commercial projects smoother, consistent, and efficient. The framework is released as open source to share the experience with the community, and the developers welcome feedback and contributions from other experts.
GID ML Framework is developed by data science consultants, who use it to improve their own workflow and make their commercial projects smoother, consistent, and efficient. The framework is released as open source to share the experience with the community, and the developers welcome feedback and contributions from other experts.
Conceptions and Benefits
Decreasing Time-to-Market by enabling faster PoCs
The idea behind GID ML Framework is to provide the opportunity to prototype ML solutions more efficiently using well-proven tooling and keeping the highest quality and maintainability of the code. The benefits could be summarized shortly as:
Sharing best practices for developing ML products
Organizing and standarizing Way-of-Work for data scientists
Technologies
To materialize ML development best practices as concrete working examples we use a modern technology stack. Our main assumption is to stick to the state of the art, well-proven open source tooling. We want the GID ML Framework to be applicable and adjustable to any MLOps architecture, so we avoid using commercial or proprietary software for essential functionalities.
Way of work with ML Framework
The GID ML Framework is basically a collection of examples written in Python, structured with Kedro and backed up with robust open source tooling. You are free to take from it as much as you need. The typical procedure that allows to harness all its advantages is:
1
Use Kedro starter
2
Reduce dataset size
Sample your data to reduce its size and speed up initial prototyping
3
Study blueprints
Study examples from GID ML Framework repository and decide what is to be taken as is for your solution and what should be adjusted or developed from scratch
4
Build environment locally
Build a containerized working environment on your local machine and add packages you need to get started
5
Iterate to build local prototypes
Iterate, iterate, iterate - modify environment, build pipelines, document your work, write tests, track experiments until your solution architecture looks OK
6
Go full-scale
Transfer your work along with the environment into the cloud and run it on full-scale infrastructure and on complete data. Develop your codebase further if needed and when the results are satisfying, enjoy having a production-grade ML system that is ready to be deployed
GID Machine Learning Framework
The administrator of your personal data is GetInData Sp. z o.o. Sp.k with its registered seat in Warsaw (02-508), 39/20 Pulawska St. Your data is processed for the purpose of provision of electronic services in accordance with the Terms & Conditions. For more information on personal data processing and your rights please see Privacy Policy.
By submitting this form, you agree to our Terms & Conditions and Privacy Policy
By submitting this form, you agree to our Terms & Conditions and Privacy Policy
Get a live demo
Any questions?
Contact us
Contact us
hello@getindata.com
GetInData | Part of Xebia is a leading polish expert company delivering cutting-edge Big Data, Cloud, Analytics, and ML/AI solutions. The company was founded in 2014 by data engineers and today brings together 120 big data specialists. We work with international clients from many industries, e.g. media, e-commerce, retail, fintech, banking, and telco. Our clients are both fast-growing scaleups and large corporations that are leaders in their industries.
We maintain laser focus on data technologies, cultivate very strong engineering culture and support extensive knowledge sharing both within a company and outside through meetups, conferences and contributions to open-source. We are a go-to partner for companies that need tailored and highly scalable data processing and analytics platforms that give competitive advantage and unlock full business potential of their data.
We maintain laser focus on data technologies, cultivate very strong engineering culture and support extensive knowledge sharing both within a company and outside through meetups, conferences and contributions to open-source. We are a go-to partner for companies that need tailored and highly scalable data processing and analytics platforms that give competitive advantage and unlock full business potential of their data.
