machine-learningtcrbert UpdatedMay 4, 2022 Jupyter Notebook A Parity Substrate runtime implementation of a simple Token Curated Registry (TCR) cryptoruntimeblockchaintcrtoken-curated-registryparity-substrate UpdatedJun 3, 2020 Rust pengxingang/TEIM ...
Wrappers provided for following TCR featurization/clustering for benchmarking: tcr-dist, iSMART, clusTCR, deepTCR, ESM, tcrBERT. comparitor_tooling/distance_based_tools is a subpackage that can be used to run tcr-dist or iSMART - see README therein. comparitor_tooling/Spikein_scores/Wrappe...
And if you want to use BERT to perturb inputs (recommended), also install transformers: pip install torch transformers spacy && python -m spacy download en_core_web_sm Examples See notebooks folder for tutorials. Note that from version 0.0.1.0, it only works on python 3. ...
Running tests with precomputedbertpredictions: pred_path='release_data/squad/predictions/bert'suite.run_from_file(pred_path,overwrite=True,file_format='pred_only')suite.visual_summary_table() To test your own model, get predictions for pairs inrelease_data/squad/squad.jsonl(format: jsonl) orre...
In this github repo, only a small collection of 2000 sequences fromVDJDBis made available because of github storage constraints. Please download the resources fromVDJDB,Dash et al.andEmerson et. aland refer toTCR-preprocessing-script-fromgitfor bert fine-tuning. ...
pred_path = 'release_data/sentiment/predictions/bert' suite.run_from_file(pred_path, overwrite=True) suite.summary() # or suite.visual_summary_table() To test your own model, get predictions for the texts in release_data/sentiment/tests_n500 and save them in a file where each line has ...