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Skills IA tools machine learning

Découvrez les skills tools machine learning, comparez leurs dépôts et consultez leurs instructions.

Catégories: tools machine learning

97–120 sur 1,317

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GitHub

splitting-datasets

jeremylongshore

Process split datasets into training, validation, and testing sets for ML model development. Use when requesting "split dataset", "train-test split", or "data partitioning". Trigger with relevant phrases based...

GitHub

feature-engineering-helper

jeremylongshore

Configure with feature engineering helper operations. Auto-activating skill for ML Training. Triggers on: feature engineering helper, feature engineering helper Part of the ML Training skill category. Use when...

GitHub

training-machine-learning-models

jeremylongshore

Build train machine learning models with automated workflows. Analyzes datasets, selects model types (classification, regression), configures parameters, trains with cross-validation, and saves model artifacts....

GitHub

model-explainability-tool

jeremylongshore

Build model explainability tool operations. Auto-activating skill for ML Training. Triggers on: model explainability tool, model explainability tool Part of the ML Training skill category. Use when working with...

GitHub

deploying-machine-learning-models

jeremylongshore

This skill enables Claude to deploy machine learning models to production environments. It automates the deployment workflow, implements best practices for serving models, optimizes performance, and handles pot...

GitHub

tuning-hyperparameters

jeremylongshore

This skill enables Claude to optimize machine learning model hyperparameters using grid search, random search, or Bayesian optimization. It is used when the user requests hyperparameter tuning, model optimizati...

GitHub

inference-latency-profiler

jeremylongshore

Profile inference latency profiler operations. Auto-activating skill for ML Deployment. Triggers on: inference latency profiler, inference latency profiler Part of the ML Deployment skill category. Use when wor...

GitHub

train-test-splitter

jeremylongshore

Train Test Splitter - Auto-activating skill for ML Training. Triggers on: train test splitter, train test splitter Part of the ML Training skill category.

GitHub

deploying-machine-learning-models

jeremylongshore

This skill enables Claude to deploy machine learning models to production environments. It automates the deployment workflow, implements best practices for serving models, optimizes performance, and handles pot...

GitHub

model-evaluation-metrics

jeremylongshore

Model Evaluation Metrics - Auto-activating skill for ML Training. Triggers on: model evaluation metrics, model evaluation metrics Part of the ML Training skill category.

GitHub

explaining-machine-learning-models

jeremylongshore

This skill enables Claude to provide interpretability and explainability for machine learning models. It is triggered when the user requests explanations for model predictions, insights into feature importance,...

GitHub

pytorch-model-trainer

jeremylongshore

Build pytorch model trainer operations. Auto-activating skill for ML Training. Triggers on: pytorch model trainer, pytorch model trainer Part of the ML Training skill category. Use when working with pytorch mod...

GitHub

roc-curve-plotter

jeremylongshore

Roc Curve Plotter - Auto-activating skill for ML Training. Triggers on: roc curve plotter, roc curve plotter Part of the ML Training skill category.

GitHub

optimizing-deep-learning-models

jeremylongshore

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". Trigger...

GitHub

splitting-datasets

jeremylongshore

This skill enables Claude to split datasets into training, validation, and testing sets. It is useful when preparing data for machine learning model development. Use this skill when the user requests to split a...

GitHub

building-neural-networks

jeremylongshore

This skill allows Claude to construct and configure neural network architectures using the neural-network-builder plugin. It should be used when the user requests the creation of a new neural network, modificat...

GitHub

setting-up-experiment-tracking

jeremylongshore

This skill automates the setup of machine learning experiment tracking using tools like MLflow or Weights & Biases (W&B). It is triggered when the user requests to "track experiments", "setup experiment trackin...

GitHub

tracking-model-versions

jeremylongshore

This skill enables Claude to track and manage AI/ML model versions using the model-versioning-tracker plugin. It should be used when the user asks to manage model versions, track model lineage, log model perfor...

GitHub

running-clustering-algorithms

jeremylongshore

This skill enables Claude to execute clustering algorithms on datasets. It is used when the user requests to perform clustering, identify groups within data, or analyze data structure. The skill supports algori...

GitHub

tuning-hyperparameters

jeremylongshore

This skill enables Claude to optimize machine learning model hyperparameters using grid search, random search, or Bayesian optimization. It is used when the user requests hyperparameter tuning, model optimizati...

GitHub

tensorflow-serving-setup

jeremylongshore

Tensorflow Serving Setup - Auto-activating skill for ML Deployment. Triggers on: tensorflow serving setup, tensorflow serving setup Part of the ML Deployment skill category.

GitHub

mlflow-tracking-setup

jeremylongshore

Mlflow Tracking Setup - Auto-activating skill for ML Training. Triggers on: mlflow tracking setup, mlflow tracking setup Part of the ML Training skill category.

GitHub

validator-expert

jeremylongshore

Validate production readiness of Vertex AI Agent Engine deployments across security, monitoring, performance, compliance, and best practices. Generates weighted scores (0-100%) with actionable recommendations....

GitHub

running-clustering-algorithms

jeremylongshore

This skill enables Claude to execute clustering algorithms on datasets. It is used when the user requests to perform clustering, identify groups within data, or analyze data structure. The skill supports algori...

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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