TAPE
Benchmark of five protein tasks with pretraining corpus and pretrained language model weights for evaluating protein embeddings.
| Category | Protein structure & design |
|---|---|
| GitHub | songlab-cal/tape |
| First public | 2019-06-19 (source) |
| Paper | https://arxiv.org/abs/1906.08230 · arXiv preprint (2019) |
| License | BSD-3-Clause |
| Pricing | Open source |
| Tags | #deep-learning#protein-sequences#protein-structure |
| Last checked | 2026-10-16 |
Specs
| Task | Embedding benchmark (structure, homology, fitness) |
|---|---|
| Modalities | Sequence |
| MSA required | No |
| Open weights | Yes |
| GPU need | GPU recommended |
| GitHub stars | 745 |
| Interface | — |
Specs come from each project's README, paper or official page · TAPE README · TAPE paper. “—” means we couldn't verify it.
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