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PyTorch development and deep learning v1.0.0

Use this resource to build and train deep learning models with PyTorch

New

  • 458 downloads
  • 154 likes
  • 103 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install pytorch-deep-learning-training

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent writes PyTorch models: custom modules, training loops, data loading and mixed precision on GPU. It also covers transformers, diffusion models and Gradio integration. You get structured training code.

Mostly picked by

Updated November 2, 2026

Card for the “PyTorch development and deep learning” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
Apache-2.0

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What you get

  • SKILL.md: modules, autograd and transformers integration
  • SKILL.md: training, data loading, optimization and Gradio

Good fit for

  • You train a classification model on your own data
  • You want to speed up an existing GPU training run

Not for

    Tags

    • pytorch
    • deep learning
    • gpu

    About

    You say

    “Write a PyTorch module for a small text encoder with its training loop.”

    Card for the “PyTorch development and deep learning” skill

    Skill published by mindrally under the Apache-2.0 license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to build and train deep learning models with PyTorch
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE11.3 KB
    • NOTICE-PALATEKIT.md0.4 KB
    • SKILL.md2.1 KB

    Origin and licence

    Listed unmodified

    Author
    mindrally
    Source
    github.com/mindrally/skills/tree/7682ca77710e0971eab4e0ae5dddfa281aea0ba5/pytorch
    Licence
    Apache-2.0

    Notice

    « pytorch » (mindrally, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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