Plugins

2 plugins

Results for “north-star-metric”

15 skills
nvidia
Nemo Evaluator Plugin
Run evaluation tasks against a NeMo Platform server using the Evaluator plugin CLI and Python SDK.
2.2k · bundle
nvidia
Nv Segment Ctmr
Runs NV-Segment-CTMR segmentation on CT or MRI NIfTI volumes and records label-map evidence.
2.2k · bundle
nvidia
Nv Generate Mr Brain Finetune
Finetunes the NV-Generate-CTMR MR-brain diffusion UNet from user-supplied NIfTI training volumes using a wrapper that stages configs and delegates to upstream scripts.
2.2k · bundle
qhjqhj00
Anderson
Computes the Anderson-Darling test statistic and p-value using scipy.stats.anderson for evaluating predictions against ground truth.
3
qhjqhj00
Auroc
Computes the AUROC metric using torchmetrics, handling binary, multiclass, and multilabel tasks with configurable thresholds and averaging.
3
qhjqhj00
F1score
Compute the F1Score metric using torchmetrics when predictions and ground-truth labels are available.
3
qhjqhj00
Recall
Computes the Recall metric using torchmetrics, including configuration for binary, multiclass, and multilabel tasks.
3
qhjqhj00
Eer
Compute the Equal Error Rate (EER) metric using torchmetrics for binary, multiclass, or multilabel classification tasks, with reference signatures and usage examples.
3
herdiansah
Startup Metrics Framework
This skill should be used when the user asks about "key startup metrics", "SaaS metrics", "CAC and LTV", "unit economics", "burn multiple", "rule of 40", "marketplace metrics", or requests guidance on tracking and optimizing business performance metrics.
23
qhjqhj00
Roc
Computes the Receiver Operating Characteristic (ROC) metric using torchmetrics, supporting binary, multiclass, and multilabel tasks.
3
qhjqhj00
Squad
Computes the SQuAD metric using torchmetrics, given predictions and ground truth. Use when evaluating question-answering outputs with exact match and F1 scores.
3
qhjqhj00
Theilsu
Computes Theil's U (uncertainty coefficient) between predictions and ground truth using the torchmetrics implementation, handling categorical data and NaN strategies.
3
nvidia
Tao Train Rtdetr
Train, evaluate, distill, quantize, export, and run inference for RT-DETR object detection models using NVIDIA TAO.
2.2k · bundle
snoodleboot-io
Model Evaluation
Every metric encodes an opinion about which mistake hurts.
2
heath-gtm
Funnel Metrics
Build the funnel metrics that actually get trusted. Stage-by-stage conversion, velocity, win rate, and the single biggest leak, with every definition pinned so nobody relitigates the numbers in the meeting. Built for B2B RevOps teams, customizable to your CRM and your stage model. Trigger on "build my funnel metrics", "what's my conversion by stage", "where's the leak", "what's our win rate", "how fast do deals move", or any funnel diagnostic.
0 · bundle