VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation
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Updated
Jan 20, 2025 - Python
VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation
[NeurIPS 2024] Train LLMs with diverse system messages reflecting individualized preferences to generalize to unseen system messages
Speech (audio) subjective evaluation system
The Stable Matching or the Stable Marriage algorithm is a mathematical algorithm that finds stable matches between two equally sized sets of elements, the proposers and the acceptors. This project uses basic Python data structures to implement the algorithm.
Unofficial implementation of the Active Preference Learning with Discrete Choice Data by Brochu et al. as published in NIPS 2007.
This is the repo for our proposed Feedback Preference corpus
Use R script to plot your own personal movie ratings against the average IMDB user's. The R script also runs a KNN Model that predicts what movies you will like based on your personal IMDB ratings.
Jetbrains IDEs and Android Studio Preference Settings.
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