Quasi-equivariant metanetworks for weight-space learning. Use for designing neural architectures that operate on pretrained model parameters, implementing equivariant and quasi-equivariant transformations that respect architectural symmetries while maintaining expressivity. Applicable to feedforward, convolutional, and transformer networks.
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Type: Agent skill (SKILL.md) · Category: Science, Health & Education · Source: https://github.com/hiyenwong/ai_collection/tree/HEAD/collection/skills/ai-ml/qua
| Capabilities (fewer powerful permissions = higher) | 50/50 |
| Maintenance | 21/35 |
| Documentation | 15/15 |
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