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

Related Keywords
preference-learning 24 machine-learning 10 reinforcement-learning 5 alignment 4 bayesian-inference 2 socially-aware-navigation 2 robot-navigation 2 recommendation-engine 2 python 2 llm 2 bayesian-optimization 2 rlhf 2 value-charts 1 algorithm 1 gaussian-processes 1 openai-gym 1 game-theory 1 answer-set-programming 1 mountain-car 1 learning-from-demonstration 1 transformer 1 recurrent-neural-networks 1 decision-making 1 cognitive-models 1 ranking 1 object-ranking 1 label-ranking 1 collaborative-filtering 1 reinforcement-learning-algorithms 1 regret-minimization 1 preference-graph 1 movie-recommender 1 label-preference 1 label-learning 1 instance-preference 1 ensae 1 social-choice-theory 1 recommendation-system 1 gurobi-optimization 1 group-recommendations 1 comparative-judgement 1 bradley-terry 1 bayesian-statistics 1 svm 1 post-hoc 1 pca 1 neural-network 1 knn 1 inductive-logic-programming 1 ilasp 1 explainable-ai 1 user-feedback 1 transformers 1 llms 1 interpretability 1 human-feedback 1 gpt4 1 edits 1 human-in-the-loop 1 generative-ai 1 drug-discovery 1 de-novo-drug-design 1 youtube 1 social-choice 1 reactjs 1 preference-aggregation 1 golden-ratio-optimization 1 django-rest-framework 1 django 1 dataset 1 bradley-terry-model 1 ai-ethics 1 gan 1 weakly-supervised-learning 1 relative-depth 1 plackett-luce 1 monocular-depth-estimation 1 monocular-depth 1 learning-to-rank 1 deep-learning 1 cvpr2021 1 cvpr 1 preference-alignment 1 direct 1 reward-design 1 preference-based-reinforcement-learning 1 human-in-the-loop-machine-learning 1 human-computer-interaction 1 expert-advisors 1 reinforcement-learning-environments 1 imitation-learning 1 safety 1 dpo 1