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Swrepo Python Packages

Python packages with the GitHub topic swrepo. Sorted by relevance, with stars and monthly downloads.
uxlfoundation
scikit-learn-intelex

Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

152K 1K 188
uxlfoundation
daal

oneAPI Data Analytics Library (oneDAL)

148K 650 224
IntelPython
daal4py

Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

98K 1K 189
intel
cve-bin-tool

The CVE Binary Tool helps you determine if your system includes known vulnerabilities. You can scan binaries for over 350 common, vulnerable components (openssl, libpng, libxml2, expat and others), or if you know the components used, you can get a list of known vulnerabilities associated with an SBOM or a list of components and versions.

45K 2K 634
uxlfoundation
daal-include

oneAPI Data Analytics Library (oneDAL)

2K 650 224
uxlfoundation
daal-static

oneAPI Data Analytics Library (oneDAL)

2K 650 224
uxlfoundation
daal-devel

oneAPI Data Analytics Library (oneDAL)

2K 650 224
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.

2K 256 135
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.

2K 256 135
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.

2K 256 135
uxlfoundation
scikit-learn-intelex-gpu

Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

2K 1K 188
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.

1K 256 135
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.

1K 256 135
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.

1K 256 135
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.

964 256 135
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.

918 256 135
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.

646 256 135
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.

640 256 135
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.

626 256 135
intel
dffml-source-mysql

DFFML Source for MySQL Protocol

618 256 135
uxlfoundation
daal-gpu

oneAPI Data Analytics Library (oneDAL)

560 650 224
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.

534 256 135
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.

305 256 135
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.

233 256 135
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