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positional-encoding-for-spectral-sequences - Positional encoding for mass spectrum tensors in IDSL_MINT

Embeds ordinal and sequential information into mass spectrum m/z-intensity pairs for transformer encoder layers in IDSL_MINT.

Tags

Updated: 2026-09-17

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • Compute sinusoidal positional encodings
  • Add positional encodings to embeddings
  • Prepare spectrum input tensors
  • Broadcast encodings across batch dimension

Inputs

  • Input spectrum feature tensor
  • Model dimension (d_model)
  • Maximum spectrum length

Outputs

  • Positional encoding added spectrum tensor
  • Positional encoding matrix

Requirements

  • Python
  • PyTorch
  • RDKit

Source

  • Spec: SKILL.md
metabolomics
mass-spectrometry
positional-encoding
transformer
pytorch
Compute sinusoidal positional encodings
Add positional encodings to embeddings
Prepare spectrum input tensors
Broadcast encodings across batch dimension
Input spectrum feature tensor
Model dimension (d_model)
Maximum spectrum length
Positional encoding added spectrum tensor
Positional encoding matrix