Every premium and members-only resource for $9.99/month, as a no-commitment subscription. See the plans

PalateKit

Menu

Request a resource

Describe the resource you are missing in one sentence. We will email you when it is published.

0 / 280

Unlock PalateKit

Unlock everything

Plan

Paying means accepting our terms of sale.

Secure payment by Stripe. Receipts and invoices sent by email.

Welcome back

Sign in to install, download or save this resource. A free account is enough for free resources.

Tracking ML experiments with SwanLab v1.0.0

Use this resource to track training runs with a local or self-hosted dashboard

New

  • 394 downloads
  • 250 likes
  • 123 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install swanlab-experiment-tracking

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 helps you install SwanLab, log a training run's metrics, configurations and media, then view the curves in a local or self-hosted dashboard. It also covers integrations with PyTorch and Transformers.

Mostly picked by

Updated November 2, 2026

Card for the “Tracking ML experiments with SwanLab” skill

Details

Generates with
Your agent's model
Licence
MIT

Similar resources

View all

What you get

  • SKILL.md: installation, experiment tracking and integrations
  • references/visualization.md and integrations.md: visualization and integrations

Good fit for

  • You want experiment tracking without relying on a SaaS service
  • You compare runs with logged images or audio

Not for

    Tags

    • experiment tracking
    • training
    • dashboard
    • pytorch

    About

    You say

    “Add SwanLab to my PyTorch training to track the loss and curves.”

    Card for the “Tracking ML experiments with SwanLab” 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 track training runs with a local or self-hosted dashboard
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/integrations.md8.1 KB
    • references/visualization.md5.9 KB
    • SKILL.md9.9 KB

    Origin and licence

    Listed unmodified

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

    Notice

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

    User reviews

    –

    No ratings yet

    Loading reviews…

    Delete your review?

    Your rating and comment will be removed from the page.