# intel/dffml

<https://repo.masters-masters.com/en/repos/intel/dffml>

[Home](https://repo.masters-masters.com/en) › [intel](https://repo.masters-masters.com/en/owners/intel) › [dffml](https://repo.masters-masters.com/en/repos/intel/dffml)

intel/dffml has 260 stars on GitHub. Its RepoMasters card: Alpha tier. The easiest way to use Machine Learning. Mix and match underlying ML libraries and data…

| Field | Value |
| --- | --- |
| Owner | [intel](https://repo.masters-masters.com/en/owners/intel) |
| Stars | 260 |
| Forks | 133 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Topics | machine-learning, data-flow, asyncio, event-based, flow-based-programming, dag, hyperautomation, dataflows, datasets, dffml |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [intel/dffml](https://github.com/intel/dffml) |

## Repository

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.

Archived: this repository is read-only

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.