Skip to main content

TensorFlow is an open source machine learning framework for everyone.

Project description

Python PyPI

TensorFlow is an open source software library for high performance numerical computation. Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices.

Originally developed by researchers and engineers from the Google Brain team within Google's AI organization, it comes with strong support for machine learning and deep learning and the flexible numerical computation core is used across many other scientific domains. TensorFlow is licensed under Apache 2.0.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

tf_nightly_cpu-2.20.0.dev20250708-cp313-cp313-win_amd64.whl (331.8 MB view details)

Uploaded CPython 3.13Windows x86-64

tf_nightly_cpu-2.20.0.dev20250708-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (258.7 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ x86-64

tf_nightly_cpu-2.20.0.dev20250708-cp312-cp312-win_amd64.whl (331.6 MB view details)

Uploaded CPython 3.12Windows x86-64

tf_nightly_cpu-2.20.0.dev20250708-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (258.5 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

tf_nightly_cpu-2.20.0.dev20250708-cp311-cp311-win_amd64.whl (331.6 MB view details)

Uploaded CPython 3.11Windows x86-64

tf_nightly_cpu-2.20.0.dev20250708-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (258.4 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

tf_nightly_cpu-2.20.0.dev20250708-cp310-cp310-win_amd64.whl (331.4 MB view details)

Uploaded CPython 3.10Windows x86-64

tf_nightly_cpu-2.20.0.dev20250708-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (258.3 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

tf_nightly_cpu-2.20.0.dev20250708-cp39-cp39-win_amd64.whl (331.4 MB view details)

Uploaded CPython 3.9Windows x86-64

tf_nightly_cpu-2.20.0.dev20250708-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (258.3 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

File details

Details for the file tf_nightly_cpu-2.20.0.dev20250708-cp313-cp313-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.20.0.dev20250708-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 e52e4762d7908cb79a6fb9744079834ae919c97f2d9494bdebd8f9be5e133765
MD5 9734a8c0103fb8f2b7d93717ba2c7dd7
BLAKE2b-256 ed437df808f71a3ded057ec56346dd788b4616aabde203050e63f36e0208ed26

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.20.0.dev20250708-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.20.0.dev20250708-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9169da7236bc508d90dd11dd366dea767ab1f670aebdcbed05badfe492b70e7d
MD5 714dd007a26b093321e13edc4b14ec66
BLAKE2b-256 9ac5450a6fa2e66cdabf0d5b891cd4ef4c1e3e50000cb82a4d0f8c4e1bb07194

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.20.0.dev20250708-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.20.0.dev20250708-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 eb56e97bf7496965d8456d785675a0af0faa88b3faaee89afab05ff0be592a77
MD5 0d8f82348ff0e62fd1a3e9fbaf159c39
BLAKE2b-256 acbd14ae1ae461a072c467e528ef633bd0bb6d102f83d8db8f24d314b3a98a96

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.20.0.dev20250708-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.20.0.dev20250708-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6c65b6be892896a82483c04db088577fc2485d346b8b1679a031f0e8c7a0f154
MD5 40e20d96325601c916757c02ba87ddb7
BLAKE2b-256 b4dcbc5eac717f4facab80bb4e52dde0dbc1005974b45592a166fe10662c24a4

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.20.0.dev20250708-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.20.0.dev20250708-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 f773f01b22cefebd861c85016750f1091d29fddaa8e33dc2c7e3ec432119cc5c
MD5 993bcc163a60f79fb6db2d698855fc3d
BLAKE2b-256 b9723612f1fe52140b1a479f18957c53313481f40f69057fd3df9ff2d6cfe821

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.20.0.dev20250708-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.20.0.dev20250708-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3257e76111ed862d6658c551fa37cf248d94b0f3c61bd2f84bafa6624e0465f1
MD5 120416c0c87909f3c4c4dcb59955d7e3
BLAKE2b-256 d165658d6dd2a094b9d23f3de770c5267fc72c65d7ebc516d117e854cf558b88

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.20.0.dev20250708-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.20.0.dev20250708-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 11e38c82b67f876c7c3fecdfc4b096e515f2281c8e4b804de0a74153a7654e05
MD5 af3f761b49e4e83db83c7c9a08ccea61
BLAKE2b-256 a61e0b2b631cc10b6f5f174fed0323baa2730beafd49190f106badac5b02d91d

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.20.0.dev20250708-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.20.0.dev20250708-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 994a161bcf16d13e47c299d63a6344edb6a240df0c738e2863adb8dbc6f190ec
MD5 f6455529f21e7f42c02f5490a0cd9895
BLAKE2b-256 ce8cca03c46222fdbc392816d33c02b4bc882e854afbcae159f06ee6e42780cb

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.20.0.dev20250708-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.20.0.dev20250708-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 07af82592514ff7313c851dd6dec964b0317e6aa76c430835a88a6290d2216eb
MD5 9b13e9caf43a3724c4081242f29d9032
BLAKE2b-256 1d69a865b56fa5ea0e7f029df404e07864d11619338fb2532a5cdeffc55bdf49

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.20.0.dev20250708-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.20.0.dev20250708-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9fc000523e7a31b2fc812c499ef7ae4a1d68b29d6ee0b9b5c4a025ef935c5acf
MD5 a3b0a2b4ea99dcbaf95a7674de44ac3e
BLAKE2b-256 d1304f6dc06c1db8f04a5b544317063f0600bd74427cdfe1b305de5e6ea331f3

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page