google/deepconsensus

DeepConsensus uses gap-aware sequence transformers to correct errors in Pacific Biosciences (PacBio) Circular Consensus Sequencing (CCS) data.

/ 100

Established

256 stars and 60 monthly downloads. No commits in the last 6 months. Available on PyPI.

Stale 6m

Maintenance 0 / 25

Adoption 14 / 25

Maturity 25 / 25

Community 18 / 25

Stars

256

Forks

Language

Python

License

BSD-3-Clause

Category

Last pushed

Mar 11, 2025

Monthly downloads

Commits (30d)

Dependencies

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/transformers/google/deepconsensus"

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

Related models

ThilinaRajapakse/simpletransformers

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling,...

explosion/curated-transformers

🤖 A PyTorch library of curated Transformer models and their composable components

jsksxs360/How-to-use-Transformers

Transformers 库快速入门教程

ruanchaves/hashformers

Accurate word segmentation for hashtags and text, powered by Transformers and Beam Search. A...

EricFillion/happy-transformer

Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.