Skills with output "Evaluation metrics"

scikit-learn - Build and evaluate scikit-learn ML workflows
Python machine learning scikit-learn supervised learning
★ 2 · Updated 2026-10-01
Use scikit-learn for supervised and unsupervised learning, preprocessing, evaluation, hyperparameter tuning, and reproducible ML pipelines.
⚙ Build classification models ⚙ Build regression models ⚙ Perform clustering
senior-computer-vision - Engineer computer vision detection and deployment pipelines
computer vision object detection image segmentation model optimization
★ 15 · Updated 2026-09-30
Build, train, optimize, and deploy computer vision systems for detection, segmentation, classification, video analysis, and related vision tasks.
⚙ Build detection pipelines ⚙ Train custom vision models ⚙ Prepare and augment datasets
scikit-survival - Perform Survival Analysis in Python
survival analysis time-to-event modeling censored data Cox models
★ 43 · Updated 2026-09-30
Analyze censored time-to-event data with survival models, evaluation metrics, competing-risks methods, and non-parametric estimators in scikit-survival.
⚙ Prepare survival outcomes ⚙ Preprocess survival datasets ⚙ Fit Cox models
umap-learn - Reduce high-dimensional data with UMAP
dimensionality reduction manifold learning embedding visualization
★ 0 · Updated 2026-09-29
Apply UMAP for nonlinear dimensionality reduction, visualization, supervised embeddings, new-data transformation, and clustering preprocessing.
⚙ Reduce data dimensionality ⚙ Visualize low-dimensional embeddings ⚙ Prepare clustering features
moe-training - Train sparse Mixture of Experts models
Mixture of Experts Sparse Models DeepSpeed Expert Parallelism
★ 3 · Updated 2026-09-29
Train and optimize sparse Mixture of Experts models with DeepSpeed or HuggingFace, including routing, load balancing, expert parallelism, and inference optimization.
⚙ Implement sparse MoE architectures ⚙ Configure top-k routing ⚙ Balance expert utilization
tao-train-deformable-detr - Train and run TAO Deformable DETR
object detection Deformable DETR TAO AutoML
★ 0 · Updated 2026-09-28
Train, evaluate, export, quantize, and run inference for TAO Deformable DETR 2D object detection models.
⚙ Train Deformable DETR models ⚙ Evaluate object detection models ⚙ Run model inference
tao-train-image-classification - Train and deploy TAO PyTorch image classifiers
image classification PyTorch TAO
★ 3,463 · Updated 2026-09-28
Train, evaluate, distill, quantize, export, and run inference for PyTorch-based TAO image-classification models.
⚙ Train image classifiers ⚙ Evaluate model performance ⚙ Distill classification models
amc-run-sample-calibration - Calibrate AMC with the bundled sample dataset
amc calibration sample rest-api
★ 1 · Updated 2026-09-28
Runs end-to-end calibration on the bundled sample dataset against a running AMC microservice and reports evaluation metrics.
⚙ Detect running AMC backend ⚙ Extract sample calibration data ⚙ Create calibration project
inquire-eval - Evaluates text-to-image retrieval on INQUIRE benchmark.
text-to-image-retrieval dataset-evaluation vision-language-models benchmark
★ 3 · Updated 2026-09-13
Evaluates text-to-image retrieval capabilities of vision-language models on expert-level, ecologically grounded queries.
⚙ Evaluate text-to-image retrieval performance ⚙ Probe fine-grained visual understanding ⚙ Measure domain-specific language comprehension
repo-rag - Codebase retrieval using semantic search and symbols
codebase-search semantic-search symbol-indexing rag
★ 22 · Updated 2026-09-09
Perform high-recall codebase retrieval using semantic search and symbol indexing to find code, understand structure, and verify architectural patterns.
⚙ Retrieve codebase with semantic search ⚙ Find classes functions and types ⚙ Analyze and understand project structure
sklearn-model-trainer - Scikit-learn Model Training
machine learning model training scikit-learn cross-validation
★ 650 · Updated 2026-05-09
Train scikit-learn ML models with cross-validation, hyperparameter tuning, and pipelines
⚙ Train classification models ⚙ Train regression models ⚙ Train clustering models