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LNP Modeling Components
This repository contains reusable neural network architecture components for molecular and formulation modeling.
Included
- Molecular feature encoders
- Token projection layers
- Set-based attention modules
- Mixture-of-experts layers
- Feature fusion modules
- Prediction heads
Excluded
This repository does not include:
- Training or evaluation datasets
- Processed data
- Model checkpoints
- Precomputed embeddings
- Experimental results
- Prediction outputs
- Server-specific configuration
- Private file paths
Users must provide their own authorized data and runtime configuration.
Installation
pip install -e .
License
See LICENSE.
Languages
Python
96.4%
Makefile
2.8%
Shell
0.4%
Dockerfile
0.4%