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Projects in Awesome Lists by PAIR-code

A curated list of projects in awesome lists by PAIR-code .

https://pair-code.github.io/facets/

Visualizations for machine learning datasets

data-visualization machine-learning

Last synced: 25 Oct 2024

https://github.com/PAIR-code/facets

Visualizations for machine learning datasets

data-visualization machine-learning

Last synced: 25 Oct 2024

https://github.com/pair-code/facets

Visualizations for machine learning datasets

data-visualization machine-learning

Last synced: 29 Sep 2024

https://pair-code.github.io/lit/

The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

machine-learning natural-language-processing visualization

Last synced: 30 Oct 2024

https://github.com/PAIR-code/lit

The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

machine-learning natural-language-processing visualization

Last synced: 05 Nov 2024

https://github.com/pair-code/lit

The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

machine-learning natural-language-processing visualization

Last synced: 11 Oct 2024

https://github.com/PAIR-code/saliency

Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

convolutional-neural-networks deep-learning deep-neural-networks ig-saliency image-recognition machine-learning object-detection saliency saliency-map smoothgrad tensorflow

Last synced: 03 Aug 2024

https://github.com/PAIR-code/wordcraft

✨✍️ Wordcraft is an AI-powered text editor with an emphasis on short story writing

Last synced: 06 Aug 2024

https://github.com/PAIR-code/llm-comparator

LLM Comparator is an interactive data visualization tool for evaluating and analyzing LLM responses side-by-side, developed by the PAIR team.

Last synced: 02 Aug 2024

https://pair-code.github.io/datacardsplaybook/

The Data Cards Playbook helps dataset producers and publishers adopt a people-centered approach to transparency in dataset documentation.

data-card datacardsplaybook datasets documentation transparency

Last synced: 02 Aug 2024

https://github.com/PAIR-code/federated-learning

Federated learning experiment using TensorFlow.js

Last synced: 29 Oct 2024

https://github.com/PAIR-code/font-explorer

Font latent space explorer using tensorflow.js

deep-learning tensorflow visualization

Last synced: 12 Aug 2024