Ecosyste.ms: Repos
An open API service providing repository metadata for many open source software ecosystems.
GitHub topics: preference-learning
tournesol-app/tournesol
Free and open source code of the https://tournesol.app platform. Meet the community on Discord https://discord.gg/WvcSG55Bf3
Language: Python - Size: 22.1 MB - Last synced: about 22 hours ago - Pushed: about 24 hours ago - Stars: 314 - Forks: 46
JanoschMenke/metis
Python-based GUI to collect Feedback of Chemist in Molecules
Language: Python - Size: 100 MB - Last synced: 2 days ago - Pushed: 2 days ago - Stars: 21 - Forks: 4
gao-g/prelude
Aligning LLM Agents by Learning Latent Preference from User Edits
Language: Python - Size: 31.3 KB - Last synced: 21 days ago - Pushed: 22 days ago - Stars: 2 - Forks: 0
vicgalle/configurable-safety-tuning
Data and models for the paper "Configurable Safety Tuning of Language Models with Synthetic Preference Data"
Language: Python - Size: 2.53 MB - Last synced: 22 days ago - Pushed: about 1 month ago - Stars: 7 - Forks: 1
allenai/reward-bench
RewardBench: the first evaluation tool for reward models.
Language: Python - Size: 3.29 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 157 - Forks: 15
qxcv/magical
The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)
Language: Python - Size: 52.3 MB - Last synced: about 2 months ago - Pushed: 6 months ago - Stars: 72 - Forks: 11
ma921/CoExBO
(AISTATS 2024) "Looping in the Human: Collaborative and Explainable Bayesian Optimization"
Language: Jupyter Notebook - Size: 4.97 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0
aleksa-sukovic/iclr2024-reward-design-for-justifiable-rl
Code for the paper "Reward Design for Justifiable Sequential Decision-Making"; ICLR 2024
Language: Jupyter Notebook - Size: 2.2 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0
BARUDA-AI/Awesome-Preference-Optimization
Survey of preference alignment algorithms
Size: 0 Bytes - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0
julilien/PLDepth
Code for "Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce Model" as published at CVPR 2021.
Language: Python - Size: 503 KB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 12 - Forks: 2
98k-bot/GAN-Assisted-Preference-Based-Learning
A paper under AAAI-20 review
Language: Python - Size: 206 KB - Last synced: about 1 month ago - Pushed: over 4 years ago - Stars: 6 - Forks: 1
Intelligent-Systems-Group/jpl-framework
Java framework for Preference Learning
Language: Java - Size: 9.6 MB - Last synced: 22 days ago - Pushed: about 6 years ago - Stars: 6 - Forks: 2
Rahgooy/MDFT
In this project, we design a recurrent neural network to simulate a cognitive model of decision-making called Multi Alternative Decision Field Theory (MDFT). We train this RNN to learn the parameters of MDFT.
Language: Python - Size: 3.74 MB - Last synced: 10 months ago - Pushed: almost 2 years ago - Stars: 2 - Forks: 0
SMARTlab-Purdue/SAN-NaviSTAR
This repository contains the source code for our paper: "NaviSTAR: Socially Aware Robot Navigation with Hybrid Spatio-Temporal Graph Transformer and Preference Learning". For more details, please refer to our project website at https://sites.google.com/view/san-navistar.
Language: Python - Size: 28.6 MB - Last synced: 11 months ago - Pushed: about 1 year ago - Stars: 11 - Forks: 2
SMARTlab-Purdue/SAN-FAPL
This repository contains the source code for our paper: "Feedback-efficient Active Preference Learning for Socially Aware Robot Navigation", accepted to IROS-2022. For more details, please refer to our project website at https://sites.google.com/view/san-fapl.
Language: Python - Size: 26.6 MB - Last synced: 11 months ago - Pushed: over 1 year ago - Stars: 3 - Forks: 1
FareedKhan-dev/APReL-Mountain-Car-Reinforcement-Learning
APReL: Active preference-based reward learning for human-robot interaction. Utilizing "Mountain Car" environment, learn from human preferences to reach the goal state. Applications in robotics and adaptability to other learning methods.
Size: 2.93 KB - Last synced: 12 months ago - Pushed: 12 months ago - Stars: 0 - Forks: 0
aaronpmishkin/gaussian_processes 📦
Preference Learning with Gaussian Processes and Bayesian Optimization
Language: Python - Size: 272 KB - Last synced: about 1 year ago - Pushed: almost 7 years ago - Stars: 7 - Forks: 0
makgyver/PRL
[P]reference and [R]ule [L]earning algorithm implementation for Python 3 (https://arxiv.org/abs/1812.07895)
Language: Python - Size: 117 KB - Last synced: 2 days ago - Pushed: about 5 years ago - Stars: 5 - Forks: 1
DanieleF198/ILASP-as-post-hoc-method-in-a-preference-system
Project about experiments of the use of ILASP as a post-hoc method over black-box models, in which we also study and approach technical issues like exponential time execution.
Size: 305 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0
TristanFauvel/Bayesian_test_for_preference
An analysis of preference comparisons based on the Bayes factor
Language: Jupyter Notebook - Size: 85 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0
rowlandseymour/BSBT
Bayesian Spatial Bradley--Terry
Language: R - Size: 44.3 MB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 1
Bekyilma/Master_thesis
Constructive Preference Elicitation for Social Choice With Setwise max-margin Learning.
Language: Python - Size: 9.24 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 1 - Forks: 0
jimparr19/pypbl
Python library for preference based learning
Language: Python - Size: 1.34 MB - Last synced: 20 days ago - Pushed: almost 3 years ago - Stars: 1 - Forks: 3
afiliot/Preference-Learning-And-Movie-Reviews
Project on preference learning - ENSAE ParisTech
Language: Python - Size: 5.58 MB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 0 - Forks: 0