Plugins
1 pluginResults for “subsumtion”
13 skills
github Qdrant Scaling Query Volume
Optimizes Qdrant query performance for large limits across multiple shards by using Poisson-distributed subsampling to reduce inter-shard data transfer.
36.2k
nvidia 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.
2.2k · bundle
nvidia Tao Train Fast Foundation Stereo
Trains, evaluates, exports, and runs inference for FastFoundationStereo (FFS) stereo depth estimation models, a distilled variant of FoundationStereo with lower latency.
2.2k · bundle
neuralblitz Calculus
Computes derivatives, integrals, and solves calculus problems including optimization, Taylor series, and differential equations.
1
qhjqhj00 Ndcg 10
Evaluates how well internal model representations (hidden states) predict token-level information importance in summarization tasks, using NDCG@10 and Spearman's rank correlation.
3
herdiansah Billing Automation
Build automated billing systems for recurring payments, invoicing, subscription lifecycle, and dunning management. Use when implementing subscription billing, automating invoicing, or managing recurring payment systems.
23
dvcrn Scan
Provides a standardized interface for ingesting raw data across domains such as genomics, network analysis, document review, and spatial mapping, converting it into semantic vectors for agent use.
32
nvidia Tao Train Sparse4d
Trains, evaluates, exports, quantizes, and runs inference for Sparse4D multi-camera temporal 3D object detection and tracking models using TAO.
2.2k · bundle
nvidia Tao Run Inference Service
Start, query, and stop a TAO inference microservice for a specific network architecture by delegating container execution to the appropriate platform skill.
2.2k · bundle
nvidia Tao Train Mask2former
Train, evaluate, export, quantize, and run inference on Mask2Former models for panoptic, instance, and semantic segmentation using NVIDIA TAO.
2.2k · bundle
salacoste Bmad Distillator
Lossless LLM-optimized compression of source documents. Use when the user requests to 'distill documents' or 'create a distillate'.
1 · bundle
qhjqhj00 Umap Learn
Reduce high-dimensional data with UMAP for visualization, clustering preprocessing, and supervised or semi-supervised learning, including parameter tuning guidance.
3 · bundle
pablolion Bmad Distillator
Lossless LLM-optimized compression of source documents. Use when the user requests to 'distill documents' or 'create a distillate'.
12 · bundle