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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.

2K 257 135
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.

1K 257 135
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.

1K 257 135
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.

882 257 135
intel
dffml-source-mysql

DFFML Source for MySQL Protocol

549 257 135
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.

547 257 135
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.

544 257 135
intel
dffml-service-http

DFFML HTTP API Service

540 257 135
intel
dffml-feature-git

No description available

521 257 135
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.

402 257 135
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.

365 257 135
intel
dffml-model-transformers

No description available

362 257 135
intel
dffml-feature-auth

No description available

314 257 135
intel
shouldi

Meta static analysis tool for Python packages

279 257 135
intel
dffml-operations-binsec

No description available

243 257 135
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