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ML experiment tracking and sweeps with Weights & Biases v1.0.0

Use this resource to track ML experiments and tune hyperparameters with Weights & Biases

New

  • 559 downloads
  • 201 likes
  • 153 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install wandb-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 adds W&B to your training loop, logs metrics and hyperparameters, then sets up sweeps to explore settings and version artifacts and models. You get run charts you can compare and a reproducible history.

Mostly picked by

Updated November 2, 2026

Card for the “ML experiment tracking and sweeps with Weights & Biases” skill

Details

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

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What you get

  • SKILL.md: installation, login and tracking an experiment
  • references/sweeps.md: hyperparameter optimization
  • references/artifacts.md: artifact and registry management

Good fit for

  • You compare several runs and lose track of your settings
  • You want to run a hyperparameter search as a team

Not for

    Tags

    • wandb
    • tracking
    • hyperparameters

    About

    You say

    “Add W&B to my PyTorch script and run a sweep over the learning rate.”

    Card for the “ML experiment tracking and sweeps with Weights & Biases” skill

    Skill published by davila7 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 ML experiments and tune hyperparameters with Weights & Biases
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/artifacts.md13.7 KB
    • references/integrations.md16.5 KB
    • references/sweeps.md18.1 KB
    • SKILL.md12.8 KB

    Origin and licence

    Listed unmodified

    Author
    davila7
    Source
    github.com/davila7/claude-code-templates/tree/f57964ebda91cdfb31755661ecea9395f30020f1/cli-tool/components/skills/ai-research/mlops-weights-and-biases
    Licence
    MIT

    Notice

    « mlops-weights-and-biases » (davila7, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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