On-Device ML & Apple Silicon Optimization
12 repos
Machine learning models optimized for edge deployment and Apple Silicon (CoreML/neural processing). The cluster centers on compact embeddings, image understanding, and reranking models designed for local inference—with strong emphasis on CoreML framework integration and Gaussian splatting for 3D vision tasks. Repos here focus on making modern LLMs and vision models practical for resource-constrained devices rather than cloud inference.
coreai ·12
coreai-aimodel ·11
apple-silicon ·10
image-to-3d ·7
gaussian-splatting ·7
core-ml ·7
3d-generation ·7
on-device ·5
core-ai ·4
autoregressive ·2
