# libtcrlm
This is the TCR language modelling library that powers SCEPTR.
It is a thin layer around PyTorch with some extra infrastructure.
Note that this repository only contains library code- for a readily-usable deployment of SCEPTR, or code used to train the models, please see the links below.
## Related links
> [!NOTE]
> The repositories below are not yet public, but will be opened up in the coming days along when the SCEPTR publication is also made public.
> Please stay tuned!
|Link|Description|
|----|-----------|
|https://github.com/yutanagano/sceptr|Readily usable deployment of SCEPTR|
|https://github.com/yutanagano/tcrlm|Code used for training models|
Raw data
{
"_id": null,
"home_page": null,
"name": "libtcrlm",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.9",
"maintainer_email": "Yuta Nagano <yutanagano51@proton.me>",
"keywords": "TCR, TR, T cell, transformer, bert, MLM, immunology, bioinformatics",
"author": null,
"author_email": "Yuta Nagano <yutanagano51@proton.me>",
"download_url": "https://files.pythonhosted.org/packages/b2/7e/dde895d80963eee2f2fd0f7f752beb8b0e0f0fd2d20eb655a4b7c513d953/libtcrlm-1.0.0.tar.gz",
"platform": null,
"description": "# libtcrlm\n\nThis is the TCR language modelling library that powers SCEPTR.\nIt is a thin layer around PyTorch with some extra infrastructure.\nNote that this repository only contains library code- for a readily-usable deployment of SCEPTR, or code used to train the models, please see the links below.\n\n## Related links\n\n> [!NOTE]\n> The repositories below are not yet public, but will be opened up in the coming days along when the SCEPTR publication is also made public.\n> Please stay tuned!\n\n|Link|Description|\n|----|-----------|\n|https://github.com/yutanagano/sceptr|Readily usable deployment of SCEPTR|\n|https://github.com/yutanagano/tcrlm|Code used for training models|\n",
"bugtrack_url": null,
"license": null,
"summary": "TCR language modelling library using Pytorch.",
"version": "1.0.0",
"project_urls": {
"Issues": "https://github.com/yutanagano/libtcrlm/issues",
"Repository": "https://github.com/yutanagano/libtcrlm"
},
"split_keywords": [
"tcr",
" tr",
" t cell",
" transformer",
" bert",
" mlm",
" immunology",
" bioinformatics"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "a668e040b70468b090a85409a85c0f1f1cf9df5287f691f1553a293ee2cb1641",
"md5": "b813d22c803b4757f06f81f4e87d77f2",
"sha256": "065c952fcddd59ec83ea3855f4fc9928d1a411d4382c38a679eb27e516698d59"
},
"downloads": -1,
"filename": "libtcrlm-1.0.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "b813d22c803b4757f06f81f4e87d77f2",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.9",
"size": 19047,
"upload_time": "2024-06-05T16:46:06",
"upload_time_iso_8601": "2024-06-05T16:46:06.412845Z",
"url": "https://files.pythonhosted.org/packages/a6/68/e040b70468b090a85409a85c0f1f1cf9df5287f691f1553a293ee2cb1641/libtcrlm-1.0.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "b27edde895d80963eee2f2fd0f7f752beb8b0e0f0fd2d20eb655a4b7c513d953",
"md5": "d0f6252daa8b41a20c964c1fa3a9e4a7",
"sha256": "f0308bc3f45fb4f6c995d87e0bf9171268b28267108a738fd1e382cfbd526b0c"
},
"downloads": -1,
"filename": "libtcrlm-1.0.0.tar.gz",
"has_sig": false,
"md5_digest": "d0f6252daa8b41a20c964c1fa3a9e4a7",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.9",
"size": 14704,
"upload_time": "2024-06-05T16:46:08",
"upload_time_iso_8601": "2024-06-05T16:46:08.003007Z",
"url": "https://files.pythonhosted.org/packages/b2/7e/dde895d80963eee2f2fd0f7f752beb8b0e0f0fd2d20eb655a4b7c513d953/libtcrlm-1.0.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-06-05 16:46:08",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "yutanagano",
"github_project": "libtcrlm",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"tox": true,
"lcname": "libtcrlm"
}