Results for “binary-classification”

7 skills

tao-analyze-gaps-vlm-bcq

Extract false-positive and false-negative gaps from VLM binary-classification-question predictions by comparing model responses against ground truth, producing a structured JSONL file and summary report for downstream root-cause analysis.

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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

build-perf-diagnostics

Diagnose MSBuild build performance bottlenecks using binary log analysis, covering timeline analysis, performance summary interpretation, and seven common bottleneck categories.

binlog-generation

Add the /bl switch to MSBuild-based commands to generate binary logs for build diagnostics and performance analysis.

tao-train-image-classification

Train, evaluate, distill, quantize, export, and run inference for PyTorch-based TAO image classification models with support for multiple backbones.

tao-finetune-clip

Fine-tune and deploy CLIP vision-language models for zero-shot classification, image-text retrieval, and embedding extraction with ONNX and TensorRT support.

tao-train-pose-classification

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