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Data-centric debugging for teams training neural nets [P](reddit.com)

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Link preview Data-centric debugging for teams training neural nets [P] 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] submitted by /u/taranpula39 [link] [Kommentare] reddit.com · reddit.com
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] submitted by /u/taranpula39 [link] [Kommentare]

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