## `Transformers` X `Gradients`
like GradientXInput, pun intended.
Collection of gradient-based XAI methods for TensorFlow models from HuggingFace Hub.
![](https://raw.githubusercontent.com/aaarrti/Transformers-X-Gradients/main/example.png)
Work in Progress!!! (let him cook)
### Roadmap
- NLP tasks
- text classification
- QA
- token classification
- fill mask
- text completion ???
- Libraries
- HF
- TensorRT
- TF models official
- keras NLP ?
- XAI methods
- hot flip?
- lemon?
- ablation flip?
Raw data
{
"_id": null,
"home_page": "",
"name": "transformers-gradients",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.8",
"maintainer_email": "Artem Sereda <artem.sereda@campus.tu-berlin.de>",
"keywords": "explainable ai,xai,machine learning,deep learning",
"author": "",
"author_email": "Artem Sereda <artem.sereda@campus.tu-berlin.de>",
"download_url": "https://files.pythonhosted.org/packages/b7/1e/e59d6dc634479993aeb49ebd9df9aefa3ea60df5ac6e36af07189e9dce51/transformers_gradients-0.0.29.tar.gz",
"platform": null,
"description": "## `Transformers` X `Gradients`\n\nlike GradientXInput, pun intended.\n\nCollection of gradient-based XAI methods for TensorFlow models from HuggingFace Hub.\n\n![](https://raw.githubusercontent.com/aaarrti/Transformers-X-Gradients/main/example.png)\n\nWork in Progress!!! (let him cook)\n### Roadmap\n- NLP tasks\n - text classification\n - QA\n - token classification\n - fill mask\n - text completion ???\n- Libraries\n - HF\n - TensorRT\n - TF models official\n - keras NLP ?\n- XAI methods\n - hot flip?\n - lemon?\n - ablation flip?\n\n",
"bugtrack_url": null,
"license": "",
"summary": "Gradient-based XAI methods for TensorFlow transformers.",
"version": "0.0.29",
"project_urls": {
"Homepage": "https://github.com/aaarrti/TransformersXGradients"
},
"split_keywords": [
"explainable ai",
"xai",
"machine learning",
"deep learning"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "ec6884987cfa435af027cb69f1f82751768c723bf57b207e3ffa0a3fad44c2db",
"md5": "ee2a0db0b5605fe9e5b9f8fa29cf3ca1",
"sha256": "8373b72d7cc1f59c13d5ffe74a89b6db48ed8b9fef88cd6f7593dce9960c5ffa"
},
"downloads": -1,
"filename": "transformers_gradients-0.0.29-py3-none-any.whl",
"has_sig": false,
"md5_digest": "ee2a0db0b5605fe9e5b9f8fa29cf3ca1",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.8",
"size": 20021,
"upload_time": "2023-05-04T15:13:09",
"upload_time_iso_8601": "2023-05-04T15:13:09.430999Z",
"url": "https://files.pythonhosted.org/packages/ec/68/84987cfa435af027cb69f1f82751768c723bf57b207e3ffa0a3fad44c2db/transformers_gradients-0.0.29-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "b71ee59d6dc634479993aeb49ebd9df9aefa3ea60df5ac6e36af07189e9dce51",
"md5": "707ef3bde647b52766fcdb400a3bcaba",
"sha256": "bc335b4c95651aa1fbdf41cab1654b1052874e0bc81ec7fc5dc6a5b676dda8cb"
},
"downloads": -1,
"filename": "transformers_gradients-0.0.29.tar.gz",
"has_sig": false,
"md5_digest": "707ef3bde647b52766fcdb400a3bcaba",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.8",
"size": 16447,
"upload_time": "2023-05-04T15:13:11",
"upload_time_iso_8601": "2023-05-04T15:13:11.688393Z",
"url": "https://files.pythonhosted.org/packages/b7/1e/e59d6dc634479993aeb49ebd9df9aefa3ea60df5ac6e36af07189e9dce51/transformers_gradients-0.0.29.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-05-04 15:13:11",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "aaarrti",
"github_project": "TransformersXGradients",
"github_not_found": true,
"lcname": "transformers-gradients"
}