All work
LLM & NLPOpen source2026
FairSample — published Python package
An open-source library that explains *why* an imbalanced dataset is hard, not just how to resample it.
Scope something similarCode walkthrough available on request
The problem
Existing imbalanced-learning tools hand you a dozen resamplers and no way to tell which one suits your data. So teams guess and ship a weaker model.
What we built
- Fourteen-plus resampling techniques including overlap-based undersampling, hybrid and clustering-based methods
- Over forty dataset complexity measures across feature overlap, instance overlap, structural and multiresolution families
- A comparison utility that ranks techniques by their measured effect on overlap instead of by reputation
- Published to PyPI with a documentation site, so it installs with one command
Need something like this?
We'll tell you honestly whether your case is a two-week build or a three-month one — and what it would cost — before you commit to anything.
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