TF-Keras is a deep learning API written in Python,
running on top of the machine learning platform TensorFlow.
It was developed with a focus on enabling fast experimentation and
providing a delightful developer experience.
The purpose of TF-Keras is to give an *unfair advantage* to any developer
looking to ship ML-powered apps.
Raw data
{
"_id": null,
"home_page": "https://keras.io/",
"name": "tf-keras-nightly",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.9",
"maintainer_email": null,
"keywords": "keras, tensorflow, machine learning, deep learning",
"author": "Keras team",
"author_email": "keras-users@googlegroups.com",
"download_url": "https://github.com/keras-team/tf-keras/tags",
"platform": null,
"description": "TF-Keras is a deep learning API written in Python,\nrunning on top of the machine learning platform TensorFlow.\n\nIt was developed with a focus on enabling fast experimentation and\nproviding a delightful developer experience.\nThe purpose of TF-Keras is to give an *unfair advantage* to any developer\nlooking to ship ML-powered apps.\n",
"bugtrack_url": null,
"license": "Apache 2.0",
"summary": "Deep learning for humans.",
"version": "2.21.0.dev2025110210",
"project_urls": {
"Download": "https://github.com/keras-team/tf-keras/tags",
"Homepage": "https://keras.io/"
},
"split_keywords": [
"keras",
" tensorflow",
" machine learning",
" deep learning"
],
"urls": [
{
"comment_text": null,
"digests": {
"blake2b_256": "6c8972ad9a25740bd63e92d098cb0ad15cd0fbb39b3d03899a60f6cc13c3f5ff",
"md5": "62d5f9411a6cc8d1a37199be8e28a445",
"sha256": "c66b94f6eebf03cb76407727c2f2e9793730f05bf50ea159fbc950c3551a6972"
},
"downloads": -1,
"filename": "tf_keras_nightly-2.21.0.dev2025110210-py3-none-any.whl",
"has_sig": false,
"md5_digest": "62d5f9411a6cc8d1a37199be8e28a445",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.9",
"size": 1694563,
"upload_time": "2025-11-02T11:14:41",
"upload_time_iso_8601": "2025-11-02T11:14:41.660259Z",
"url": "https://files.pythonhosted.org/packages/6c/89/72ad9a25740bd63e92d098cb0ad15cd0fbb39b3d03899a60f6cc13c3f5ff/tf_keras_nightly-2.21.0.dev2025110210-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-11-02 11:14:41",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "keras-team",
"github_project": "tf-keras",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"requirements": [
{
"name": "pandas",
"specs": []
},
{
"name": "pydot",
"specs": []
},
{
"name": "scipy",
"specs": []
},
{
"name": "tf-nightly",
"specs": []
},
{
"name": "portpicker",
"specs": []
},
{
"name": "pyyaml",
"specs": []
},
{
"name": "Pillow",
"specs": []
},
{
"name": "black",
"specs": [
[
"==",
"22.3.0"
]
]
},
{
"name": "isort",
"specs": [
[
"==",
"5.10.1"
]
]
},
{
"name": "flake8",
"specs": [
[
"==",
"4.0.1"
]
]
},
{
"name": "nvidia-cublas-cu12",
"specs": [
[
"==",
"12.5.3.2"
]
]
},
{
"name": "nvidia-cuda-cupti-cu12",
"specs": [
[
"==",
"12.5.82"
]
]
},
{
"name": "nvidia-cuda-nvcc-cu12",
"specs": [
[
"==",
"12.5.82"
]
]
},
{
"name": "nvidia-cuda-nvrtc-cu12",
"specs": [
[
"==",
"12.5.82"
]
]
},
{
"name": "nvidia-cuda-runtime-cu12",
"specs": [
[
"==",
"12.5.82"
]
]
},
{
"name": "nvidia-cudnn-cu12",
"specs": [
[
"==",
"9.3.0.75"
]
]
},
{
"name": "nvidia-cufft-cu12",
"specs": [
[
"==",
"11.2.3.61"
]
]
},
{
"name": "nvidia-curand-cu12",
"specs": [
[
"==",
"10.3.6.82"
]
]
},
{
"name": "nvidia-cusolver-cu12",
"specs": [
[
"==",
"11.6.3.83"
]
]
},
{
"name": "nvidia-cusparse-cu12",
"specs": [
[
"==",
"12.5.1.3"
]
]
},
{
"name": "nvidia-nccl-cu12",
"specs": [
[
"==",
"2.25.1"
]
]
},
{
"name": "nvidia-nvjitlink-cu12",
"specs": [
[
"==",
"12.5.82"
]
]
}
],
"lcname": "tf-keras-nightly"
}
JSON
