May Updates
The latest news and machine learning projects from our community
Created on September 22|Last edited on September 22
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Project Showcase
Get a behind-the-scenes look at the process of model training and experimentation. Here are some of our latest favorites from the Weights & Biases community.
The Science of Debugging: a look at how the team at Latent Space uses interactive reports to debug their models
SimpleTransformer for NLP: Language modeling, named entity recognition, and question answering using distillbert from the SimpleTransformer library.
W&B and Skorch: The union of Scikit and PyTorch— learn how to run a fast hyperparameter search to explore what’s possible and find the best model.
- Bounding boxes: Log and dynamically visualize bounding box overlays on images
- Filter from the parallel coordinates chart: Select a range and click the Filter icon to zoom in
- New Visualizations: Confusion matrices, heatmaps, ROC and PR curves
- Code comparison: Diff the code across your runs
- Jupyter session history: Look back at the cells that were executed during a run
Machine Learning Community
Looking for a place to discuss machine learning topics with other practitioners? We have a growing community of researchers and engineers in the W&B Forum →
Join our virtual meetup to share project ideas and get inspired. Here are videos from our most recent event.
- Track your machine learning experiments locally with Chris Van Pelt
- Made with ML— exploring project ideas with Goku Mohandas
- Anti-patterns in open source ML research code with Jariullah Safi
- Attention for time series forecasting and COVID predictions with Isaac Godfried
- Surprising utility of surprise— why ML uses negative log probabilities with Charles Frye
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