Data-centric debugging for teams training neural nets [P]
WeightsLab Revamp: Data-Centric Debugging for Neural Net Teams
We just did a big revamp of WeightsLab and wanted to share it here. If you’ve ever spent hours debugging a training run only to discover it was a data problem all along, this is for you.
WeightsLab lets you pause training mid-run, inspect your live loss signals, and catch mislabels, class imbalance, and outliers before they tank your model.
- Open source
- PyTorch-native
- Built for CV engineers working with images, videos, and LiDAR point cloud data
Would love to hear what the community thinks and if it looks useful, and helps more people find it:
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