awesome-machine-unlearning

The premium Open Source alternative to Weights & Biases

🎯 Best for:ML engineers and researchers

What is awesome-machine-unlearning?

An open-source alternative to proprietary research databases for machine unlearning techniques. It provides a structured survey of algorithms for removing specific training data from neural networks.

Tech Stack
Jupyter NotebookAI, ML & Data

Why awesome-machine-unlearning?

  • Extensive research links
  • Regularly updated
  • Technical depth

Limitations

  • Not a software tool
  • High learning curve
  • No execution environment
3/5/2026
Last Update
74
Forks
16
Issues
MIT
License
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Competitor Cost
-$1,440
/ year (est. based on Weights & Biases)
Self-Hosted
$0
/ year
Team Size10 Users
150+
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