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deliberate-lab
Publiclit
PublicThe Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.recommendation-rudders
Publictiny-transformers
Publicthehardway
Publicautonotes
Publicumap-js
PublicJavaScript implementation of UMAPai-augmented-life
Publicwordcraft
Publicfederated-learning
Publicmegaplot
Publicscatter-gl
Publicinterpretability
Publicai-explorables
Publicfont-explorer
PublicFont latent space explorer using tensorflow.jscococo
Publicwaterfall-of-meaning
Publicauto-histograms
Publicpretraining-tda
Publicadversarial-nibbler-vis
Publicllm-comparator
Publicpair-code.github.io
Publicunderstanding-umap
Publicts-llmt
Publicmodel-alignment
PublicModel Alignment is a python library from the PAIR team that enable users to create model prompts through user feedback instead of manual prompt writing and editing. The technique makes use of constitutional principles to align prompts to users' desired values.what-if-tool
PublicSource code/webpage/demos for the What-If Tooldatacardsplaybook
PublicThe Data Cards Playbook helps dataset producers and publishers adopt a people-centered approach to transparency in dataset documentation.saliency
Public archiveFramework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).