Replaces closed-source protein embedding services with a scalable training and inference framework. Utilizes masked language modeling to capture evolutionary information from massive sequence databases for downstream prediction.
Tech Stack
PythonAI, ML & Data
Why lobster?
• Optimized for large-scale sequence training
• Modular architecture for different tasks
• Captures deep evolutionary representations
Limitations
• Extremely high compute requirements
• Requires expertise in deep learning
• Data preprocessing is resource-intensive
2/26/2026
Last Update
32
Forks
29
Issues
Apache-2.0
License
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