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Machine Learning

Training models and neural networks.

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machine-learning
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model-optimization

Quantization, pruning, AutoML, hyperparameter tuning, and performance optimization. Use for improving model performance, reducing size, or automated ML.

pluginagentmarketplace
pluginagentmarketplace
data-ai
open
machine-learning
3

fine-tune

Use when you need to fine-tune(ファインチューニング) and optimize LangGraph applications based on evaluation criteria. This skill performs iterative prompt optimization for LangGraph nodes without changing the graph structure.

hiroshi75
hiroshi75
data-ai
open
machine-learning
3

building-classification-models

Build and evaluate classification models for supervised learning tasks with labeled data. Use when requesting "build a classifier", "create classification model", or "train classifier".

BbgnsurfTech
BbgnsurfTech
data-ai
open
machine-learning
3

training-machine-learning-models

Train machine learning models with automated workflows. Analyzes datasets, selects model types (classification, regression), configures parameters, trains with cross-validation, and saves model artifacts. Use when asked to "train model" or "evalua...

BbgnsurfTech
BbgnsurfTech
data-ai
open
machine-learning
3

fiftyone-dataset-inference

Run ML model inference (YOLO, YOLOv8, CLIP, SAM, Detectron2, etc.) on FiftyOne datasets. Use when running models, applying detection, classification, segmentation, embeddings, or any model prediction task. Also use for end-to-end workflows that include importing data then running inference.

voxel51
voxel51
data-ai
open
machine-learning
3

ml-benchmark

ML 모델 벤치마크 및 평가 실행. "벤치마크", "모델 평가", "성능 테스트", "inference 속도" 요청 시 활성화됩니다.

jiunbae
jiunbae
data-ai
open
machine-learning
3

building-automl-pipelines

Build automated machine learning pipelines with feature engineering, model selection, and hyperparameter tuning. Use when automating ML workflows from data preparation through model deployment. Trigger with phrases like "build automl pipeline", "automate ml workflow", or "create automated training pipeline".

BbgnsurfTech
BbgnsurfTech
data-ai
open
machine-learning
3

tuning-hyperparameters

Optimize machine learning model hyperparameters using grid search, random search, or Bayesian optimization. Finds best parameter configurations to maximize performance. Use when asked to "tune hyperparameters" or "optimize model".

BbgnsurfTech
BbgnsurfTech
data-ai
open
machine-learning
3

fiftyone-dataset-export

Exports FiftyOne datasets to standard formats (COCO, YOLO, VOC, CVAT, CSV, etc.). Use when converting datasets, exporting for training, creating archives, or sharing data in specific formats.

voxel51
voxel51
data-ai
open
machine-learning
3

learn

learn from the current session

kevinslin
kevinslin
data-ai
open
machine-learning
3

episode-complete

Complete and score a learning episode to extract patterns and update heuristics. Use when finalizing a task to enable pattern extraction and future learning.

d-o-hub
d-o-hub
data-ai
open
machine-learning
3

model-sync

ML 모델 파일 서버 간 동기화. "모델 동기화", "모델 배포", "rsync 모델", "서버로 전송" 요청 시 활성화됩니다.

jiunbae
jiunbae
data-ai
open
machine-learning
3

fiftyone-dataset-import

Imports datasets into FiftyOne with automatic format detection. Supports all media types (images, videos, point clouds), label formats (COCO, YOLO, VOC, KITTI), and multimodal grouped datasets. Use when importing datasets, loading autonomous driving data, or creating grouped datasets.

voxel51
voxel51
data-ai
open
machine-learning
3

setting-up-experiment-tracking

Setup machine learning experiment tracking using MLflow or Weights & Biases. Configures environment and provides code for logging parameters, metrics, and artifacts. Use when asked to "setup experiment tracking" or "initialize MLflow".

BbgnsurfTech
BbgnsurfTech
data-ai
open
machine-learning
3

deep-learning

Neural networks, CNNs, RNNs, Transformers with TensorFlow and PyTorch. Use for image classification, NLP, sequence modeling, or complex pattern recognition.

pluginagentmarketplace
pluginagentmarketplace
data-ai
open
machine-learning
3

optimizing-deep-learning-models

Optimize deep learning models using Adam, SGD, and learning rate scheduling to improve accuracy and reduce training time. Use when asked to "optimize deep learning model" or "improve model performance".

BbgnsurfTech
BbgnsurfTech
data-ai
open
machine-learning
3

microimpute

ML-based variable imputation for survey data - used in policyengine-us-data to fill missing values

PolicyEngine
PolicyEngine
data-ai
open
machine-learning
3

agent-detector

CRITICAL: MUST run for EVERY message. Detects agent, complexity, AND model automatically. Always runs FIRST.

nguyenthienthanh
nguyenthienthanh
data-ai
open
machine-learning
3

fiftyone-model-evaluation

Evaluate model predictions against ground truth using COCO, Open Images, or custom protocols. Use when computing mAP, precision, recall, confusion matrices, or analyzing TP/FP/FN examples for detection, classification, segmentation, or regression tasks.

voxel51
voxel51
data-ai
open
machine-learning
3

l0

L0 regularization for neural network sparsification and intelligent sampling - used in survey calibration

PolicyEngine
PolicyEngine
data-ai
open
machine-learning
3

machine-learning

Supervised/unsupervised learning, model selection, evaluation, and scikit-learn. Use for building classification, regression, or clustering models.

pluginagentmarketplace
pluginagentmarketplace
data-ai
open
machine-learning
2

growth

Growth engine for ID8Labs. Systematic experimentation and optimization to scale products through data-driven decisions, retention focus, and sustainable acquisition channels.

eddiebe147
eddiebe147
data-ai
open
machine-learning
2

databricks-ml-pipeline

End-to-end machine learning pipelines on Databricks including data exploration, feature engineering, model training with hyperparameter optimization, MLflow experiment tracking, model registration to Unity Catalog, and deployment as DABs. Use when building ML workflows, training models, or deploying ML pipelines.

databricks-solutions
databricks-solutions
data-ai
open
machine-learning
2

convex-development

Apply Convex database best practices for cost optimization, performance, security, and architecture. Use when: building Convex backends, optimizing queries, handling embeddings/vector search, reviewing Convex code, designing schemas, planning migrations, or discussing Convex architecture. Keywords: Convex, real-time database, queries, mutations, actions, indexes, pagination, vector search, embeddings, schema, migrations, ctx.auth, convex-helpers, bandwidth.

phrazzld
phrazzld
data-ai
open
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