intel / Dffml
Licence: mit
The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.
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Data Flow Facilitator for Machine Learning (dffml)
Mission Statement
DFFML aims to be the easiest and most convenient way to use Machine Learning.
-
Its a machine learning distribution. Providing you access to a set of popular
machine learning libraries guaranteed to work together.
-
Its a AI/ML Python library, command line application, and HTTP service.
-
You give it your data and tell it what kind of model you want to train. It
creates a model for you.
-
If you want finer grained control over the model, you can easily do so by
implementing your own model plugin.
-
We make it easy to use and deploy your models.
-
We provide a directed graph concurrent execution environment with managed
locking which we call DataFlows.
-
DataFlows make it easy to generate datasets or modify existing datasets for
rapid iteration on feature engineering.
Documentation
Documentation for the latest release is hosted at https://intel.github.io/dffml/
Documentation for the master branch is hosted at
https://intel.github.io/dffml/master/index.html
Contributing
The contributing page
will guide you through getting setup and contributing to DFFML.
Help
License
DFFML is distributed under the MIT License.
Legal
This software is subject to the U.S. Export Administration Regulations and
other U.S. law, and may not be exported or re-exported to certain countries
(Cuba, Iran, Crimea Region of Ukraine, North Korea, Sudan, and Syria) or to
persons or entities prohibited from receiving U.S. exports (including
Denied Parties, Specially Designated Nationals, and entities on the Bureau
of Export Administration Entity List or involved with missile technology or
nuclear, chemical or biological weapons).
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at
[email protected].