๐ Live Open Source Explorer
Explore live open-source projects and AI models.
Search public open-source repositories from GitHub and AI models from Hugging Face. Every page shows 10 results with clean pagination.
๐ Live Search
Search live open-source data
Search GitHub repositories and Hugging Face models directly, then explore stars, downloads, source links and project details.
Live Results
GitHub Open Source Repositories
Search: recommender_system
Page 73
Showing 10 results from 734
yuibi/tosho_recommender
GitHub Jupyter NotebookNLP book recommender system using a series of book descriptions. TensorFlow, Gensim, Janome, Optuna.
External source
GitHub
yoongi0428/recsys_data_zoo
GitHub Jupyter NotebookA Collection of Public Recommender System Dataset
External source
GitHub
dgliu/WSDM24_MultiFS
GitHub Python GNU General Public License v3.0Experiments codes for WSDM '24 paper "MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems"
External source
GitHub
aiovine/converse-dataset
GitHubNatural language dataset for training a Conversational Recommender System
External source
GitHub
Superbooming/E-Redial
GitHub Apache License 2.0A conversational recommender system dataset with high-quality explanations.
External source
GitHub
saeedhamdollahi/FoodRecNet
GitHub PythonFoodRecNet: A comprehensively personalized Food Recommender system using deep neural Networks
External source
GitHub
ledmaster/clippy-adagrad
GitHub Python MIT LicensePyTorch Implementation of Improving Training Stability for Multitask Ranking Models in Recommender Systems
External source
GitHub
yaochenzhu/PSF-VAE
GitHub Python(KDD'23) Official codes of "Path-Specific Counterfactual Fairness for Recommender System (PSF-VAE)".
External source
GitHub
juandes/lol-recommendation-system
GitHub HTML Apache License 2.0Recommend League of Legends teams using a neighborhood based recommender system written in Golang
External source
GitHub
singhman/MovieRecommendationEngine
GitHub PythonAn user based and item based movie rating prediction recommender system based on data provided by MovieLens using memory-based Collaborative filtering technique by utilizing Pearson correlation, Euclidean distances, Cosine distances, and K-nearest neighbors algorithms
External source
GitHub
10 results on this page ยท 734 total found
Showing first 734 accessible GitHub results.