AstraZeneca / DiffAbXL

The official implementation of DiffAbXL benchmarked in the paper "Exploring Log-Likelihood Scores for Ranking Antibody Sequence Designs", formerly titled "Benchmarking Generative Models for Antibody Design".

Date Created 2024-10-08 (2 months ago)

Commits 14 (last one about a month ago)

Stargazers 57 (1 this week)

Watchers 5 (0 this week)

Forks 6

License apache-2.0

Ranking

RepositoryStats indexes 595,890 repositories, of these AstraZeneca/DiffAbXL is ranked #435,221 (27th percentile) for total stargazers, and #335,639 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #83,263/119,419.

AstraZeneca/DiffAbXL is also tagged with popular topics, for these it's ranked: diffusion-models (#481/639), graph-neural-networks (#414/592), generative-ai (#397/580)

All Topics

llm-models generative-ai log-likelihood antibody-design binding-affinity diffusion-models in-silico-design graph-neural-networks

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Recent Commit History

14 commits on the default branch (master) since jan '22

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The only known language in this repository is Python

updated: 2024-12-21 @ 12:55pm, id: 869732635 / R_kgDOM9cRGw