Metadata-Version: 2.4
Name: libtcrlm
Version: 1.1.3
Summary: TCR language modelling library using Pytorch.
Author-email: Yuta Nagano <yutanagano51@proton.me>
Maintainer-email: Yuta Nagano <yutanagano51@proton.me>
Project-URL: Repository, https://github.com/yutanagano/libtcrlm
Project-URL: Issues, https://github.com/yutanagano/libtcrlm/issues
Keywords: TCR,TR,T cell,transformer,bert,MLM,immunology,bioinformatics
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: blosum~=2.0
Requires-Dist: pandas~=2.2
Requires-Dist: torch~=2.2
Requires-Dist: tidytcells~=2.2
Provides-Extra: dev
Requires-Dist: pytest; extra == "dev"
Requires-Dist: pytest-cov; extra == "dev"
Requires-Dist: tox; extra == "dev"
Dynamic: license-file

# 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

|Link|Description|
|----|-----------|
|https://github.com/yutanagano/sceptr|Readily usable deployment of SCEPTR|
|https://github.com/yutanagano/tcrlm|Code used for training models|
