Multi-Modal Alignment for Shared Embedding Space
CommunityAlign multimodal embeddings into a shared space.
Software Engineering#multimodal#workspace#alignment#cross-modal#contrastive-learning#embedding-space#projection-heads
Authorsovr610
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Aligns modality-specific representations (vision, text, audio, sensors) into a single shared embedding space to enable reliable cross-modal retrieval, fusion, and workspace integration. Without alignment, multimodal signals occupy disjoint regions, hindering cross-modal reasoning.
Core Features & Use Cases
- Contrastive alignment using InfoNCE and SigLIP variants to map modalities into a shared embedding space.
- Modality-specific projection heads, pooling strategies, and a modular reference/template system to support diverse encoders.
- Integration with brain_ai workspace for cross-modal competition, retrieval, and binding into a unified cognitive pipeline.
Quick Start
Run the multi-modal alignment workflow on your paired modality data to project all inputs into the shared embedding space.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferencesassets
💻 Claude Code Installation
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Please help me install this Skill: Name: Multi-Modal Alignment for Shared Embedding Space Download link: https://github.com/sovr610/refffiy/archive/main.zip#multi-modal-alignment-for-shared-embedding-space Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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