TCR language modelling library using Pytorch.

Navigation

Verified details

These details have been verified by PyPI
Project links
GitHub Statistics
Maintainers
Avatar for yutanagano from gravatar.com yutanagano

Unverified details

These details have not been verified by PyPI
Meta
  • License: MIT License
  • Author: Yuta Nagano
  • Maintainer: Yuta Nagano
  • Tags TCR , TR , T cell , transformer , bert , MLM , immunology , bioinformatics
  • Requires: Python >=3.9
  • Provides-Extra: dev
Classifiers
Report project as malware

Project description

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

Project details

Verified details

These details have been verified by PyPI
Project links
GitHub Statistics
Maintainers
Avatar for yutanagano from gravatar.com yutanagano

Unverified details

These details have not been verified by PyPI
Meta
  • License: MIT License
  • Author: Yuta Nagano
  • Maintainer: Yuta Nagano
  • Tags TCR , TR , T cell , transformer , bert , MLM , immunology , bioinformatics
  • Requires: Python >=3.9
  • Provides-Extra: dev
Classifiers

Release history Release notifications | RSS feed

This version

1.1.3

1.1.2

1.1.1

1.0.2

1.0.1

1.0.0.post1

1.0.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

libtcrlm-1.1.3.tar.gz (19.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

libtcrlm-1.1.3-py3-none-any.whl (20.4 kB view details)

Uploaded Python 3

File details

Details for the file libtcrlm-1.1.3.tar.gz.

File metadata

  • Download URL: libtcrlm-1.1.3.tar.gz
  • Upload date:
  • Size: 19.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for libtcrlm-1.1.3.tar.gz
Algorithm Hash digest
SHA256 bf697ee0990cfb732fccc39c33dfb28399cba129d231fbe795ce7e2b8ab29dac
MD5 4f23573b0762832ecc18686af1fb2199
BLAKE2b-256 8e92d80afacfb5d731e40847e6a96d259145b9a9c8e013ec770a2a60618ed2a1

See more details on using hashes here.

Provenance

The following attestation bundles were made for libtcrlm-1.1.3.tar.gz:

Publisher: publish_to_pypi.yaml on yutanagano/libtcrlm

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file libtcrlm-1.1.3-py3-none-any.whl.

File metadata

  • Download URL: libtcrlm-1.1.3-py3-none-any.whl
  • Upload date:
  • Size: 20.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for libtcrlm-1.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 73fef3a0ab22d9e0e8433b19c3b1d79a4c2b702d7f2f39ccbec31d64bdad65bc
MD5 56b31c0febebecaf3b1999debe0038ab
BLAKE2b-256 4b371e8f8e23a478efd170322fa7437d20e1be4fb0a6ec206f49e408162b165e

See more details on using hashes here.

Provenance

The following attestation bundles were made for libtcrlm-1.1.3-py3-none-any.whl:

Publisher: publish_to_pypi.yaml on yutanagano/libtcrlm

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page