A recommendation engine for user-made 3D worlds — It reads an item's content (3D shape, textures, images, text), so a new asset can be recommended the moment it exists — no waiting for click history.
weftspun
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bumblebee
bumblebee PublicForked from elixir-nx/bumblebee
Pre-trained Neural Network models in Axon
Elixir
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Showing 10 of 24 repositories
- see-through-cpp Public
Planned C++/ggml port of See-Through (anime illustration -> inpainted semantic layers + depth); phase 1: GGUF conversion
- easy-diffusion-traces Public
taskweft JSON-LD session traces for easy-diffusion-mcp (plans, spans, curated image sweeps)
- ex_mcp Public Forked from azmaveth/ex_mcp
Model Context Protocol (MCP) and Agent Client Protocol (ACP) client/server library for Elixir
- rf-detr-mcp Public
MCP server wrapping RF-DETR for pose keypoints, instance segmentation, and detection QA of generated character art
- residual-fsq-recommender Public
Holographic (HRR phase-vector) session memory over concat-vector ResidualFSQ semantic IDs; zero-shot next-item recall in Elixir, certified via plausible-witness-dag. Companion to multimodal-semantic-ids.
- trellis2-mesh-vae-slang Public
Portable Slang + Lean 4 reimplementation of the TRELLIS.2 mesh-VAE encoder forward (mesh -> SLAT tokens)
- unified-modal-embedder Public
Fused multimodal content embedder (Qwen3-VL + TRELLIS.2 SLAT + …) Matryoshka-truncated to 768-d for residual-fsq-recommender
- multimodal-semantic-ids Public
Multimodal FOSS encoders + concat-vector ResidualFSQ semantic IDs (text/image/mesh/audio/body-phenotype); successor to vsk-session-item-recommendation-01
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