Resources · Case studies
Three case studies on the way.
Short, practical pieces on training data and on what we learn building WeightsLab.
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AI training · Classification
Classification, sample by sample
Read the case study -
LLM · Fine-tuning
Finding the bad examples in an LLM fine-tuning set
Read the case study -
Physical AI · Point clouds
Optimizing point-cloud training
Read the case study
Resources · Press
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Video · YouTube
What is WeightsLab?
Watch on YouTube - Coming soon
- Coming soon
Developers
Documentation, notebooks and demos.
Everything we have published so far lives outside this site.
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Docs
Documentation
Quickstart, integrations with PyTorch Lightning and Ultralytics, and migration guides from TensorBoard and Weights & Biases.
Read the docs -
Colab
Colab quickstart
Serve WeightsLab from a free Colab GPU and connect the studio running on your own machine.
Open in Colab -
Videos
Demos on YouTube
Robot manipulation, LiDAR and image demos.
Watch the demos -
Code
Source on GitHub
The WeightsLab package, its examples and its issue tracker.
Open GitHub
See it on one of your runs.
Try the sandbox in your browser, or book 30 minutes with us and bring a real run.