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  4. Pypi Packages
  5. scikit-learn vs tensorflow

scikit-learn vs tensorflow

OverviewComparisonAlternatives

Overview

scikit-learn
scikit-learn
Stacks601
Followers20
Votes0
GitHub Stars56.6K
Forks24.9K
tensorflow
tensorflow
Stacks325
Followers26
Votes0

tensorflow vs scikit-learn: What are the differences?

tensorflow: TensorFlow is an open source machine learning framework for everyone. TensorFlow is an open source machine learning framework for everyone; scikit-learn: A set of python modules for machine learning and data mining. A set of python modules for machine learning and data mining.

tensorflow and scikit-learn can be primarily classified as "PyPI Packages" tools.

scikit-learn is an open source tool with 45.9K GitHub stars and 21.5K GitHub forks. Here's a link to scikit-learn's open source repository on GitHub.

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Detailed Comparison

scikit-learn
scikit-learn
tensorflow
tensorflow

A set of python modules for machine learning and data mining.

TensorFlow is an open source machine learning framework for everyone.

Statistics
GitHub Stars
56.6K
GitHub Stars
-
GitHub Forks
24.9K
GitHub Forks
-
Stacks
601
Stacks
325
Followers
20
Followers
26
Votes
0
Votes
0

What are some alternatives to scikit-learn, tensorflow?

google

google

Python bindings to the Google search engine.

requests

requests

Python HTTP for Humans.

pytest

pytest

Pytest: simple powerful testing with Python.

boto3

boto3

The AWS SDK for Python.

pandas

pandas

Powerful data structures for data analysis, time series, and statistics.

numpy

numpy

NumPy is the fundamental package for array computing with Python.

six

six

Python 2 and 3 compatibility utilities.

urllib3

urllib3

HTTP library with thread-safe connection pooling, file post, and more.

python-dateutil

python-dateutil

Extensions to the standard Python datetime module.

flake8

flake8

The modular source code checker: pep8, pyflakes and co.

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