Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
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Updated
Aug 15, 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
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 platform supporting the creation of data-driven surveys.
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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