# AstraZeneca/DiffAbXL

<https://repo.masters-masters.com/en/repos/AstraZeneca/DiffAbXL>

[Home](https://repo.masters-masters.com/en) › [AstraZeneca](https://repo.masters-masters.com/en/owners/AstraZeneca) › [DiffAbXL](https://repo.masters-masters.com/en/repos/AstraZeneca/DiffAbXL)

AstraZeneca/DiffAbXL has 100 stars on GitHub. Its RepoMasters card: Prototype tier. The official implementation of DiffAbXL benchmarked in the paper…

| Field | Value |
| --- | --- |
| Owner | [AstraZeneca](https://repo.masters-masters.com/en/owners/AstraZeneca) |
| Stars | 100 |
| Forks | 9 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2024 |
| Topics | antibody-design, binding-affinity, diffusion-models, generative-ai, graph-neural-networks, in-silico-design, llm-models, log-likelihood |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [AstraZeneca/DiffAbXL](https://github.com/AstraZeneca/DiffAbXL) |

## Repository

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".

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.