Data-centric debugging for teams training neural nets [P]
Mirrored from r/MachineLearning for archival readability. Support the source by reading on the original site.
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 & outliers before they tank your model.
Open source, PyTorch-native, built for CV engineers working with images, videos & LiDAR point cloud data.
Would love to hear what the community thinks and if it looks useful, and helps more people find it: [ https://github.com/GrayboxTech/weightslab]
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