Keras
Keras is a framework maintained by Keras team at Google63. Its source code is public13 under the Apache License 2.02.
Keras is an open-source deep learning API. Keras 3 is multi-backend: models can run on JAX, TensorFlow, or PyTorch, and an OpenVINO backend supports inference only. The keras.io site also documents KerasHub, which provides Keras 3 implementations of model architectures paired with pretrained checkpoints.14
- Repository: GitHub repository (external site: github.com)
- Documentation: Website and documentation (external site: keras.io)
- License: License (external site: raw.githubusercontent.com)
Availability and license
Component reuse rights
- weights
- Unknown — no complete fact-level rights review
- code
- Unknown — no complete fact-level rights review
- data
- Unknown — no complete fact-level rights review
- documentation
- Unknown — no complete fact-level rights review
No complete system-rights review is recorded for this release.
Public materials checklist
| Item | Status | Notes and evidence |
|---|---|---|
| Source codeIs the source code publicly readable? | Public | Developed on GitHub at keras-team/keras.13 |
| DocumentationIs user documentation published? | Public | Guides and API documentation are published at keras.io.41 |
| InstallationAre installation instructions or packages publicly available? | Public | Installed with pip ("pip install keras") plus a backend package (tensorflow, jax, or torch).15 |
| Supported platformsAre supported operating systems or hardware documented? | Public | The README states Keras 3 is compatible with Linux and macOS and recommends WSL2 on Windows; it lists minimum backend versions and separate CUDA requirement files for GPU support.1 |
| Release statusAre versioned releases published? | Public | Versioned releases are published on PyPI; version 3.15.1 was uploaded on July 29, 2026.5 |
What it is useful for
The README describes Keras 3 for building and training models across domains and scaling from a laptop to clusters of GPUs or TPUs, and as a drop-in replacement for tf.keras when using the TensorFlow backend.1
Organization context
U.S. eligibility
Eligible · basis: U.S.-governed project
A November 2024 Google for Developers blog post states that the Keras team at Google will continue to collaborate on the project in the open-source community and describes Google's continued investment in Keras 3. The contributing guide requires contributors to pass a Google Contributor License Agreement check (cla/google). Google's parent Alphabet Inc. has its principal executive offices in Mountain View, California, per its fiscal 2025 Form 10-K.637
Sources
This listing is not an endorsement, a safety assessment, or a federal approval.
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APA style
USASI. (2026, September 29). Keras. United States of America Superintelligence. https://unitedstatesofamericasuperintelligence.com/open/keras/
BibTeX
@misc{usasi_keras,
author = {{USASI}},
title = {Keras},
year = {2026},
month = sep,
howpublished = {\url{https://unitedstatesofamericasuperintelligence.com/open/keras/}},
note = {United States of America Superintelligence. Last updated 2026-09-29}
}The date is when this page was last updated. Add the date you read it if your style needs one.
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