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Ai Machine Learning Python Packages

Python packages with the GitHub topic ai-machine-learning. Sorted by monthly downloads, with stars and forks.
uxlfoundation
scikit-learn-intelex

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

124K 1K 190
uxlfoundation
daal

oneAPI Data Analytics Library (oneDAL)

121K 652 227
IntelPython
daal4py

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

97K 1K 190
uxlfoundation
scikit-learn-intelex-gpu

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

3K 1K 190
uxlfoundation
daal-gpu

oneAPI Data Analytics Library (oneDAL)

3K 652 227
uxlfoundation
daal-include

oneAPI Data Analytics Library (oneDAL)

1K 652 227
uxlfoundation
daal-devel

oneAPI Data Analytics Library (oneDAL)

1K 652 227
uxlfoundation
daal-static

oneAPI Data Analytics Library (oneDAL)

598 652 227
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
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
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology