Speech (audio) subjective evaluation system
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Updated
Jul 15, 2020 - Python
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.
Jetbrains IDEs and Android Studio Preference Settings.
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.
This is the repo for our proposed Feedback Preference corpus
[AAAI 2026] VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation
[ICLR 2025] LLaVA-MoD: Making LLaVA Tiny via MoE-Knowledge Distillation
[NeurIPS 2024] Train LLMs with diverse system messages reflecting individualized preferences to generalize to unseen system messages
The official repository of the ICML 2026 paper: Evaluating and Steering Modality Preferences in Multimodal Large Language Model
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.
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