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Financial Contributions
One-time contribution
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Spread the word by putting ML Launchpad stickers on your laptop, car, bike, spouse, and pet. (but seriously, don't put them on your pet) Read more
€10 EUR
Top financial contributors
Andreas Schuderer
€150 EUR since May 2019
2
Incognito
€43.5 EUR since Mar 2020
ML Launchpad is all of us
Our contributors 2
Thank you for supporting ML Launchpad.
Budget
Transparent and open finances.
-€49.19 EUR
Paid
Reimbursement #112130
Credit from Incognito to ML Launchpad •
+€4.00EUR
Completed
Contribution #69378
Credit from Incognito to ML Launchpad •
+€39.50EUR
Completed
Contribution #69182
€
Today’s balance€1.43 EUR
Total raised
€170.69 EUR
Total disbursed
€169.26 EUR
Estimated annual budget
--.-- EUR
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News from ML Launchpad
Updates on our activities and progress.
Future of ML Launchpad at Open Collective
As all who read this will know, ML Launchpad is not a particularly big project. But it is actively used by a small, but dedicated, close-knit community. So, big social media updates, as well as budgetary actions, are not often needed. Unfor...
Published on December 8, 2022 by Andreas Schuderer
ML Launchpad 1.1.0 released!
ML Launchpad version 1.1.0 is our first feature release! It includes a couple of new features and improvements that we found to be useful when using ML Launchpad. We hope you like them, too! :) As always, to enjoy the goodness of this relea...
Published on December 13, 2021 by Andreas Schuderer
ML Launchpad 1.0.0 available!
We have just released ML Launchpad version 1.0.0. This being the first major release, we had this version in the works for a long time -- thoroughly tested, tweaked, ...
Published on June 8, 2020 by Andreas Schuderer
About
ML Launchpad is a fledgeling open source project under a commercial-friendly license (Apache 2.0).
It is also a Python package which makes it easy to deploy a Python or R machine learning system as a RESTful API (or Azure function, or ...).
We want to bridge the gap between the awesome and powerful open source technologies that are available, particularly on Python, and using these technologies in a production or production-like environment as an API, all with purely open source components.
The reason why this is needed is that the people who create great machine learning (ML) algorithms are not always great full-stack developers, and vice versa. Python makes it very easy to create a simple web API, and even easier to create a bad web API. We strive to implement API and data connectivity best practices in ML Launchpad, providing an abstraction layer between the ML model and the harsh and unforgiving world of Web API development, so that data scientists can develop their machine learning solution with more confidence.
The ML Launchpad Collective exists as a public place of accountability, to be able to track expenses, and, first and foremost, to be able reward our GitHub contributors for their hard work with some cool stickers! ;)
So if you'd like to contribute, there's now one more way to do it. As always, we are grateful for reported bugs or asked questions over at our GitHub repository, any issues picked up, improvements of the documentation, and so on. But if GitHub is not your thing and you still want to give back, you can now provide a donation here, and we will make sure that it will reach our contributors in the form of perks and merch and, funds permitting, we can reimburse them for expenses like travelling to developers conferences to spread the word about ML Launchpad!
It is also a Python package which makes it easy to deploy a Python or R machine learning system as a RESTful API (or Azure function, or ...).
We want to bridge the gap between the awesome and powerful open source technologies that are available, particularly on Python, and using these technologies in a production or production-like environment as an API, all with purely open source components.
The reason why this is needed is that the people who create great machine learning (ML) algorithms are not always great full-stack developers, and vice versa. Python makes it very easy to create a simple web API, and even easier to create a bad web API. We strive to implement API and data connectivity best practices in ML Launchpad, providing an abstraction layer between the ML model and the harsh and unforgiving world of Web API development, so that data scientists can develop their machine learning solution with more confidence.
The ML Launchpad Collective exists as a public place of accountability, to be able to track expenses, and, first and foremost, to be able reward our GitHub contributors for their hard work with some cool stickers! ;)
So if you'd like to contribute, there's now one more way to do it. As always, we are grateful for reported bugs or asked questions over at our GitHub repository, any issues picked up, improvements of the documentation, and so on. But if GitHub is not your thing and you still want to give back, you can now provide a donation here, and we will make sure that it will reach our contributors in the form of perks and merch and, funds permitting, we can reimburse them for expenses like travelling to developers conferences to spread the word about ML Launchpad!