Open-Awesome
CategoriesAlternativesStacksSelf-HostedExplore
Open-Awesome

© 2026 Open-Awesome. Curated for the developer elite.

TermsPrivacyAboutGitHubRSS
  1. Home
  2. Machine Learning
  3. Hybrid Recommender System

Hybrid Recommender System

Python0.1

A Python library for training hybrid recommendation systems using scikit-learn algorithms with zero code required.

GitHubGitHub
16 stars5 forks0 contributors

Overview

Conjunto de scripts para treinar um Sistema de Recomendação Híbrido baseado nos algoritmos do scikit-learn

Quick Stats

Stars16
Forks5
Contributors0
Open Issues0
Last commit9 years ago
CreatedSince 2016

Tags

#knn-algorithm#data-science#collaborative-filtering#python#recommendation-system#scikit-learn#machine-learning

Built With

s
scikit-learn
P
Python

Included in

Machine Learning72.2k
Auto-fetched 8 hours ago

Related Projects

PyTorch - Tensors and Dynamic neural networks in Python with strong GPU accelerationPyTorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Stars102,845
Forks29,156
Last commit8 hours ago
keraskeras

Deep Learning for humans

Stars64,321
Forks19,788
Last commit3 days ago
streamlitstreamlit

Streamlit — A faster way to build and share data apps.

Stars45,708
Forks4,374
Last commit12 hours ago
gradiogradio

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

Stars43,488
Forks3,590
Last commit9 hours ago
Community-curated · Updated weekly · 100% open source

Found a gem we're missing?

Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.

Submit a projectStar on GitHub