Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
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Updated
Sep 26, 2024 - Python
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
Design, conduct and analyze results of AI-powered surveys and experiments. Simulate social science and market research with large numbers of AI agents and LLMs.
❓ a simpler way to make forms, surveys, and reaction input using discord.py.
Active learning in NLP
Awesome Semi-supervised Multi-view Classification is a collection of SOTA, novel semi-supervised multi-view classification methods (papers, codes).
A management tool for harmonised longitudinal studies (to get along with a Qualtrics license)
Practices Survey Platform - Assess against best practices assessment and improvement planning
A platform supporting the creation of data-driven surveys.
Formats and pivots data from D2L Brightspace intelligent agents, outcomes, and survey reports (manual Excel workflows also included)
Create and visualise sky map data.
A python library to jointly analyse the data products of cosmological simulations and radio sky surveys. It provides the functionalities to go from data-cubes (simulations) and .fits maps (surveys) to object catalogues.
Generate Google Doc From Survey Results
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