Ankh
基于 T5 架构优化的蛋白质语言模型，使用更高效的预训练策略和数据增强 方法，在多个下游任务上达到与 ESM-2 相当的性能。该模型参数量更小， 推理效率更高。
| Property | Value |
|---|---|
| Purpose | 高效轻量的蛋白质语言模型 |
| Time Complexity | O(n^2 * d) |
| Space Complexity | O(n^2) |
| Year | 2023 |
| Difficulty | Intermediate |
| Languages | Python |
| Category | Protein Language Model |
Complexity Analysis
- Time Complexity:
O(n^2 * d) - Space Complexity:
O(n^2)
Performance Insight: The time complexity of this algorithm is polynomial. High space complexity; consider Hirschberg-style space-optimized variants for very long sequences.
Note: Complexity analysis is based on theoretical models. Actual runtime is affected by input scale, hardware, and implementation optimizations. Benchmark for your specific workload.
Literature & Implementation
Related Tools
ESM-2 · ProtTrans · ProtBERT