PyRank

Dataflows Python Packages

Python packages with the GitHub topic dataflows. Sorted by monthly downloads, with stars and forks.
intel
dffml

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.

473 259 133
intel
dffml-model-tensorflow

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.

246 259 133
intel
dffml-config-yaml

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.

240 259 133
intel
dffml-model-scratch

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.

238 259 133
intel
dffml-service-http

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.

223 259 133
intel
dffml-feature-git

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.

211 259 133
intel
dffml-model-transformers

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.

207 259 133
intel
dffml-source-mysql

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.

192 259 133
intel
dffml-model-scikit

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.

184 259 133
intel
shouldi

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.

171 259 133
intel
dffml-feature-auth

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.

162 259 133
rosaia
pypeworks

Easy and lightweight parallelized dataflows in Python

128 1 0
intel
dffml-model-tensorflow-hub

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.

127 259 133
intel
dffml-operations-binsec

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.

97 259 133
intel
dffml-model-spacy

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.

92 259 133
intel
dffml-model-vowpalwabbit

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.

88 259 133