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1. imbalanced-losses imbalanced-losses Public

   imbalanced-losses is a PyTorch library of training losses for class-imbalanced classification — including Focal Loss, Smooth-AP, and Recall-at-Quantile — with built-in DDP all-gather support for gl…

   Python

2. ml-lab ml-lab Public

   Structured ML hypothesis investigation for Claude Code — ensemble critique (default) or adversarial debate, empirical testing, peer review, and coherence audit. Benchmark: 3× independent critics ou…

   Python

3. vime vime Public

   Reproducing the VIME framework for self- and semi-supervised learning to tabular domain.

   Python 4

4. met met Public

   Reproducing the MET framework with PyTorch

   Python 5 1

5. dpipes dpipes Public

   Pythonic data pipelines

   Python

6. steps steps Public

   A SciKit-Learn style feature selector using best subsets and stepwise regression.

   Jupyter Notebook 5