Replaces closed-source biological model APIs with a framework for deploying and fine-tuning pre-trained genomic transformers. It standardizes the interface for multi-modal transcriptomics and genomics data processing using state-of-the-art architectures.
Tech Stack
PythonBiology & Biotechnology
Why helical?
• Pre-trained model weights
• Multi-modal data support
• Standardized training loops
Limitations
• Requires significant GPU RAM
• Complex data preprocessing
• High compute costs
3/5/2026
Last Update
34
Forks
3
Issues
AGPL-3.0
License
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