Plugins

1 plugin

Portable core of Sam's Claude Code setup: native pre-commit hook enforcement (sentinel gate retired 2026-08-14), on-demand /validate, generic review agents, cross-model Codex review skills, and a /bootstrap-cc-setup skill that writes the always-loaded rules layer plugins cannot ship. For repos NOT bootstrapped by the Loam Copier template - a Loam-rendered project already carries most of this in .c

6 skills · plugin

Results for “cross-model”

9 skills

Trains, evaluates, exports, and runs inference for person re-identification models using TAO, learning discriminative embeddings for cross-camera matching.

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Train Sentence Transformers

Train or fine-tune sentence-transformers models for retrieval, similarity, clustering, classification, and reranking, with support for bi-encoders, cross-encoders, and sparse encoders.

10.8k · bundle

Tao Train Mask Auto Encoder

Train, evaluate, export, and run inference for Masked Auto-Encoder (MAE) models for self-supervised pretraining and fine-tuning of visual representations.

Nemo Mbridge Perf Moe Vlm Training

Provides practical guidance for training Mixture-of-Experts Vision-Language Models in Megatron Bridge, comparing FSDP and 3D-parallel approaches with lessons from recent multimodal experiments.

Tao Train Visual Changenet

Trains, evaluates, exports, and runs inference for Visual ChangeNet models used in AOI defect detection, comparing image pairs for PASS/NO_PASS classification or change-segmentation masks.

Qdrant Model Migration

Guides embedding model migration in Qdrant without downtime, covering alias swap, side-by-side, and hybrid search strategies.

Tao Train Mask Auto Label

Trains, evaluates, and runs inference for Mask Auto-Label (MAL) weakly-supervised segmentation models using ViT-MAE backbones with minimal point or box annotations.

Tao Train Mask2former

Train, evaluate, export, quantize, and run inference on Mask2Former models for panoptic, instance, and semantic segmentation using NVIDIA TAO.

Tao Train Pose Classification

Train, evaluate, export, and run inference for pose classification models using ST-GCN on skeleton keypoint sequences.