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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.federated-learning
Publicautonotes
Publicpretraining-tda
Publicwaterfall-of-meaning
Publicinterpretability
Publicscatter-gl
Publicumap-js
PublicJavaScript implementation of UMAPpair-code.github.io
Publicrecommendation-rudders
Publicunderstanding-umap
Publiccococo
Publicts-llmt
Publicfont-explorer
PublicFont latent space explorer using tensorflow.jsai-explorables
Publicllm-comparator
Publicwordcraft
Publicmegaplot
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 Toolauto-histograms
Publicthehardway
Publicadversarial-nibbler-vis
Publicdatacardsplaybook
PublicThe Data Cards Playbook helps dataset producers and publishers adopt a people-centered approach to transparency in dataset documentation.saliency
PublicFramework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).