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Visualizing model training with TensorBoard v1.0.0

Use this resource to visualize a training run's metrics, histograms and graphs

New

  • 518 downloads
  • 153 likes
  • 215 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install tensorboard-training-visualization

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 guides you through installing TensorBoard, logging metrics from PyTorch or TensorFlow, then launching the dashboard. You get curves, histograms, model graphs and profiling guidance.

Mostly picked by

Updated November 2, 2026

Card for the “Visualizing model training with TensorBoard” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: installation, PyTorch integration and launch
  • references/visualization.md, profiling.md and integrations.md: visualization, profiling and integrations

Good fit for

  • You want to track loss and accuracy during training
  • You want to see why a model does not converge, using histograms

Not for

    Tags

    • tensorboard
    • training
    • metrics
    • visualization

    About

    You say

    “Add TensorBoard to my PyTorch training loop to track the loss.”

    Card for the “Visualizing model training with TensorBoard” skill

    Skill published by Orchestra Research under the MIT 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 visualize a training run's metrics, histograms and graphs
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/integrations.md16.4 KB
    • references/profiling.md13.6 KB
    • references/visualization.md15.2 KB
    • SKILL.md15.5 KB

    Origin and licence

    Listed unmodified

    Author
    Orchestra Research
    Source
    github.com/orchestra-research/ai-research-skills/tree/773a52944ba4747a18bd4ae9ade53fff041adcbc/13-mlops/tensorboard
    Licence
    MIT

    Notice

    « tensorboard » (Orchestra Research, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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