PaccMann/TITAN

Code for "T Cell Receptor Specificity Prediction with Bimodal Attention Networks" (https://doi.org/10.1093/bioinformatics/btab294, ISMB 2021)

/ 100

Emerging

No commits in the last 6 months.

Stale 6m No Package No Dependents

Maintenance 2 / 25

Adoption 7 / 25

Maturity 16 / 25

Community 16 / 25

Stars

Forks

Language

Jupyter Notebook

License

MIT

Category

Last pushed

Jul 12, 2025

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/PaccMann/TITAN"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

CompOmics/DeepLC

DeepLC: Retention time prediction for peptides carrying any modification.

BojarLab/glycowork

Package for processing and analyzing glycans and their role in biology.

wilhelm-lab/dlomix

Python framework for Deep Learning in Proteomics

BojarLab/CandyCrunch

Predicting glycan structure from LC-MS/MS data

sidhomj/DeepTCR

Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data