PAIR code (PAIR-code)

PAIR code

PAIR-code

Organization data from Github https://github.com/PAIR-code

Code repositories for projects from the People+AI Research (PAIR) Initiative

Home Page:https://pair.withgoogle.com

GitHub:@PAIR-code

PAIR code's repositories

lit

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

Language:TypeScriptLicense:Apache-2.0Stargazers:3536Issues:67Issues:138

saliency

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

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:973Issues:24Issues:37

what-if-tool

Source code/webpage/demos for the What-If Tool

Language:HTMLLicense:Apache-2.0Stargazers:945Issues:30Issues:126

llm-comparator

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

Language:JavaScriptLicense:Apache-2.0Stargazers:406Issues:6Issues:1

umap-js

JavaScript implementation of UMAP

Language:JavaScriptLicense:Apache-2.0Stargazers:404Issues:10Issues:25

wordcraft

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

Language:TypeScriptLicense:Apache-2.0Stargazers:287Issues:11Issues:4

datacardsplaybook

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

Language:TypeScriptLicense:Apache-2.0Stargazers:178Issues:15Issues:11

interpretability

PAIR.withgoogle.com and friend's work on interpretability methods

Language:JavaScriptLicense:Apache-2.0Stargazers:178Issues:14Issues:3

scatter-gl

Interactive 3D / 2D webgl-accelerated scatter plot point renderer

Language:TypeScriptLicense:Apache-2.0Stargazers:174Issues:5Issues:36

understanding-umap

Understanding the theory behind UMAP

Language:JavaScriptLicense:Apache-2.0Stargazers:169Issues:3Issues:1

federated-learning

Federated learning experiment using TensorFlow.js

Language:TypeScriptLicense:Apache-2.0Stargazers:163Issues:10Issues:13

ai-explorables

https://pair.withgoogle.com/explorables/

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:61Issues:10Issues:1

cococo

𝄡 Collaborative Convolutional Counterpoint

Language:TypeScriptLicense:Apache-2.0Stargazers:46Issues:4Issues:1

font-explorer

Font latent space explorer using tensorflow.js

Language:VueLicense:Apache-2.0Stargazers:32Issues:3Issues:0

model-alignment

Model 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.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:24Issues:2Issues:0
Language:TypeScriptLicense:Apache-2.0Stargazers:20Issues:4Issues:64

deliberate-lab

Platform for running online research experiments on human + LLM group dynamics.

Language:TypeScriptLicense:Apache-2.0Stargazers:19Issues:5Issues:297
Language:Jupyter NotebookLicense:Apache-2.0Stargazers:19Issues:4Issues:16
Language:JavaScriptLicense:Apache-2.0Stargazers:16Issues:4Issues:0

autonotes

AutoNotes is an experimental prototype for AI-powered notetaking, with features including hierarchical tagging, "chat with your notes," and highlights.

Language:TypeScriptLicense:Apache-2.0Stargazers:13Issues:3Issues:0

thehardway

Supplementary code repository to accompany Tic-Tac-Toe the Hard Way podcast

Language:JavaScriptStargazers:12Issues:1Issues:0
Language:PythonLicense:Apache-2.0Stargazers:6Issues:2Issues:1
Language:TypeScriptLicense:Apache-2.0Stargazers:5Issues:5Issues:0

adversarial-nibbler-vis

An interactive visualization interface for exploring and analyzing the Adversarial Nibbler dataset

Language:TypeScriptLicense:Apache-2.0Stargazers:3Issues:2Issues:0

deeplearnjs-legacy-loader

Deprecated: Legacy TensorFlow model loader for deeplearn.js

Language:PythonLicense:Apache-2.0Stargazers:3Issues:1Issues:0
Language:PythonLicense:Apache-2.0Stargazers:1Issues:1Issues:0
Language:TypeScriptLicense:Apache-2.0Stargazers:0Issues:0Issues:4