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ml-frameworks

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Master ML frameworks: PyTorch, TF, sklearn.

Software Engineering#mlops#machine learning#pytorch#tensorflow#scikit-learn#hugging face
Authordoanchienthangdev
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides best practices and code examples for using popular machine learning frameworks, helping developers build and train models more effectively.

Core Features & Use Cases

  • Framework Examples: Demonstrates standard patterns for PyTorch, TensorFlow/Keras, and Scikit-learn.
  • Modern Libraries: Includes examples for Hugging Face Transformers.
  • Best Practices: Offers guidance on optimization techniques like mixed precision and learning rate scheduling.
  • Use Case: A data scientist needs to quickly implement a classification model using PyTorch and wants to ensure they are following industry best practices for training and optimization.

Quick Start

Use the ml-frameworks skill to train a model using PyTorch with mixed precision.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: ml-frameworks
Download link: https://github.com/doanchienthangdev/omgkit/archive/main.zip#ml-frameworks

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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