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tensorflow vs sklearn: What are the differences?
What is tensorflow? TensorFlow is an open source machine learning framework for everyone. TensorFlow is an open source machine learning framework for everyone.
What is sklearn? A set of python modules for machine learning and data mining. A set of python modules for machine learning and data mining.
tensorflow and sklearn can be primarily classified as "PyPI Packages" tools.
sklearn Stats
- Dependent Packages Counts - 5
tensorflow Stats
- Dependent Packages Counts - 12
sklearn Vulnerabilities
No Vulnerabilities found
tensorflow Vulnerabilities
- NULL Pointer Dereference and Access of Uninitialized Pointer in TensorFlowCritical
- Integer truncation in Shard API usageCritical
- Arbitrary code execution due to YAML deserializationCritical
sklearn Release info
Latest version
0.0
Other
tensorflow Release info
Latest version
2.9.1
Apache-2.0
What is sklearn?
A set of python modules for machine learning and data mining.
What is tensorflow?
TensorFlow is an open source machine learning framework for everyone.
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What companies use sklearn?
What companies use tensorflow?
What companies use sklearn?
What companies use tensorflow?
See which teams inside your own company are using sklearn or tensorflow.
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What are some alternatives to sklearn and tensorflow?
requests
Python HTTP for Humans.
numpy
NumPy is the fundamental package for array computing with Python.
six
Python 2 and 3 compatibility utilities.
pytest
Pytest: simple powerful testing with Python.
pandas
Powerful data structures for data analysis, time series, and statistics.