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tensorflow vs pytorch: What are the differences?
Developers describe tensorflow as "TensorFlow is an open source machine learning framework for everyone". TensorFlow is an open source machine learning framework for everyone. On the other hand, pytorch is detailed as "**". .
tensorflow and pytorch belong to "PyPI Packages" category of the tech stack.
pytorch Stats
- Dependent Packages Counts - 5
tensorflow Stats
- Dependent Packages Counts - 12
pytorch 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
pytorch Release info
Latest version
1.0.0
BSD-3-Clause
tensorflow Release info
Latest version
2.9.1
Apache-2.0
What is pytorch?
What is tensorflow?
TensorFlow is an open source machine learning framework for everyone.
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What companies use pytorch?
What companies use tensorflow?
What companies use pytorch?
What companies use tensorflow?
See which teams inside your own company are using pytorch or tensorflow.
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What are some alternatives to pytorch 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.