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Search Machine Learning , found 25 results

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Machine Learning Pipeline - Multi-Agent MLOps Orchestration

machine-learning-ops-ml-pipeline

sickn33/antigravity-awesome-skills

Design and implement a complete ML pipeline for: $ARGUMENTS

Model Evaluation Metrics

model-evaluation-metrics

jeremylongshore/claude-code-plugins-plus-skills

Automates guidance for evaluating machine learning models, covering best practices, sample code, and validation patterns triggered by mentions of model evaluation metrics.

Model Quantization Assistant

model-quantization-tool

jeremylongshore/claude-code-plugins-plus-skills

Automates guidance for deploying machine learning models with quantization, covering tooling, best practices, and production readiness for inference, MLops, and monitoring tasks.

Prediction Monitor Assistant

prediction-monitor

jeremylongshore/claude-code-plugins-plus-skills

Prediction Monitor Assistant automates machine learning deployment monitoring tasks, offering step-by-step guidance, best-practice patterns, production-ready code and configuration generation, and validation to keep serving and inference workflows reliable.

Automated Data Preprocessing

preprocessing-data-with-automated-pipelines

jeremylongshore/claude-code-plugins-plus-skills

This skill builds and executes automated pipelines to clean, validate, and transform data for machine learning, covering ETL workflows, error handling, and quality reporting so Claude can deliver analysis-ready datasets.

Dataset Splitter Tool

splitting-datasets

jeremylongshore/claude-code-plugins-plus-skills

Automates splitting datasets into training, validation, and test subsets by generating and running Python code so you can quickly prepare data for machine learning model training and evaluation.

Machine Learning Training

training-machine-learning-models

jeremylongshore/claude-code-plugins-plus-skills

Automates the end-to-end training of machine learning models by analyzing datasets, selecting suitable algorithms, tuning parameters, performing cross-validated training, and emitting performance metrics plus a saved model artifact.

Hyperparameter Optimization Assistant

tuning-hyperparameters

jeremylongshore/claude-code-plugins-plus-skills

Guides Claude to automatically tune machine learning model hyperparameters via grid, random, or Bayesian search, generating runnable Python code, executing validations, and reporting best configurations plus performance metrics for accuracy or other goals.

Molecular ML Toolkit

K-Dense-AI/claude-scientific-skills

DeepChem is a Python library for molecular machine learning, bundling data loaders, featurizers, splitters, and models so researchers can rapidly predict molecular properties, benchmark on MoleculeNet, or build drug discovery and materials pipelines.

Genomic Interval ML

K-Dense-AI/claude-scientific-skills

Geniml is a Python toolkit for applying machine learning to genomic interval data (BED/scATAC-seq), offering region and metadata embeddings, universe-building, and utilities for downstream similarity search, clustering, and evaluation.

Pathology Imaging Toolkit

K-Dense-AI/claude-scientific-skills

PathML is a Python toolkit for computational pathology, enabling whole-slide image loading, stain-aware preprocessing, spatial graph construction, and machine learning workflows on multiplexed immunofluorescence data.

Scikit Learn ML Guide

K-Dense-AI/claude-scientific-skills

Comprehensive guidance for building classical machine learning workflows with scikit-learn, spanning supervised and unsupervised algorithms, preprocessing, evaluation, tuning, and production-ready pipelines for structured or text data.

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