mcpField
T
tensorflow-model-trainer

tensorflow-model-trainer

github.com/jeremylongshoreData & databases2.9k48 installsUpdated 2d ago
Repository

About tensorflow-model-trainer

A skill for TensorFlow model-training tasks, aimed at users who need guidance across preparation, training, tuning, and experiment tracking. It provides stepwise advice, code and configuration generation, and output validation.

Key features

  1. 01Step-by-step training guidance
  2. 02Code and configuration generation
  3. 03Best-practice recommendations
  4. 04Output validation

Use cases

  1. 01Preparing machine-learning data
  2. 02Training TensorFlow models
  3. 03Tuning hyperparameters
  4. 04Tracking experiments

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/jeremylongshore/tons-of-skills-marketplace --skill tensorflow-model-trainer

After installing, type/tensorflow-model-trainerin Claude Code to confirm it loaded.

Details

From the project README

Tensorflow Model Trainer

Overview

This skill provides automated assistance for tensorflow model trainer tasks within the ML Training domain.

When to Use

This skill activates automatically when you:

  • Mention "tensorflow model trainer" in your request
  • Ask about tensorflow model trainer patterns or best practices
  • Need help with machine learning training skills covering data preparation, model training, hyperparameter tuning, and experiment tracking.

Instructions

  1. Provides step-by-step guidance for tensorflow model trainer
  2. Follows industry best practices and patterns
  3. Generates production-ready code and configurations
  4. Validates outputs against common standards

Examples

Example: Basic Usage Request: "Help me with tensorflow model trainer" Result: Provides step-by-step guidance and generates appropriate configurations

Prerequisites

  • Relevant development environment configured
  • Access to necessary tools and services
  • Basic understanding of ml training concepts

Output

  • Generated configurations and code
  • Best practice recommendations
  • Validation results

Error Handling

ErrorCauseSolution
Configuration invalidMissing required fieldsCheck documentation for required parameters
Tool not foundDependency not installedInstall required tools per prerequisites
Permission deniedInsufficient accessVerify credentials and permissions

Resources

  • Official documentation for related tools
  • Best practices guides
  • Community examples and tutorials

Related Skills

Part of the ML Training skill category. Tags: ml, training, pytorch, tensorflow, sklearn

Comments

Markdown supported