Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About
Search results for machine learning collaborative filtering
collaborative-filtering
x
machine-learning
x
46 search results found
Gorse
⭐
8,010
Gorse open source recommender system engine
Implicit
⭐
3,322
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Deep Learning For Recommendation Systems
⭐
2,141
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
Tutorials
⭐
847
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Daisyrec
⭐
496
This is the repository of our article published in RecSys 2020 "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" and of several follow-up studies.
Recdb Postgresql
⭐
262
RecDB is a recommendation engine built entirely inside PostgreSQL
Recommender
⭐
249
A C library for product recommendations/suggestions using collaborative filtering (CF)
Elliot
⭐
248
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Rankfm
⭐
150
Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
Funq
⭐
128
Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"
Recommender_system_with_python
⭐
124
recommender system tutorial with Python
Replay
⭐
109
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
Movie Recommender System
⭐
86
Basic Movie Recommendation Web Application using user-item collaborative filtering.
Movie Recommender Demo
⭐
50
This project walks through how you can create recommendations using Apache Spark machine learning. There are a number of jupyter notebooks that you can run on IBM Data Science Experience, and there a live demo of a movie recommendation web application you can interact with. The demo also uses IBM Message Hub (kafka) to push application events to topic where they are consumed by a spark streaming job running on IBM BigInsights (hadoop).
Recoder
⭐
48
Large scale training of factorization models for Collaborative Filtering with PyTorch
Recommendation.jl
⭐
43
Building recommender systems in Julia
Retailbox
⭐
34
🛍️RetailBox - eCommerce Recommender System using Machine Learning
Ract_cf
⭐
25
Ranking-Critical Training for Collaborative Filtering
Recsys_autoencoders
⭐
23
This project implements different Deep Autoencoder for Collaborative Filtering for Recommendation Systems in Keras
Machine_learing_algo_python
⭐
21
implement the machine learning algorithms by python for studying
Cp User Behavior
⭐
18
Recommendation engine using collaborative filtering and matrix factorization
Nodeml
⭐
17
machine learning framework for node.js
Qmazon
⭐
15
Qt c++ 图书推荐与评论系统GUI 协同过滤推荐 collaborative filtering, book recommendation System, Book-Crossing Dataset
Pytorchcml
⭐
14
PyTorchCML is a library of PyTorch implementations of matrix factorization (MF) and collaborative metric learning (CML), algorithms used in recommendation systems and data mining.
Quick Data Science Experiments 2017
⭐
14
Quick-Data-Science-Experiments
Recommendbyitemcf
⭐
11
Hadoop mapreduce. 基于ItemCF的协同过滤 物品推荐系统 Collaborative filtering goods recommendation system based on ItemCF
Data Science Skills Practice
⭐
11
Collaborativefiltering
⭐
11
simple c++ implementation of collaborative filtering.
Recommendation Engine
⭐
11
A recommendation algorithm implemented with Biased Matrix Factorization method using tensorflow and tested over 1 million Movielens dataset with state-of-the-art validation RMSE around ~ 0.83
You Can Not Recommend
⭐
11
Recommender system engine on NodeJS
Efficientcof
⭐
11
A new efficient subspace and K-Means clustering based method to improve Collaborative Filtering
Movie_recommender
⭐
9
Movie Recommender System with Django.
Amazon Product Recommendation Cf Als Spark
⭐
9
We have chosen Amazon product sales data set comprising of sales activity and user ratings for each product. The idea is to create a product suggestion/recommendation system for each user based on his previous purchases and his rating for each one. A Collaborative Filtering model is built to predict the virtual ratings for the product that the user did not purchase. The system predicts the user rating for all the items and we display the products which user may be like, buy and rate higher.
Mcam Numpy
⭐
9
Low-rank Matrix Completion using Alternating Minimization
Kafka Spark Product Recommendation
⭐
8
Python script demonstrating spark streaming and Kafka implementation using an e-commerce website like product recommendation engine based on item-based collaborative filtering. 🐍. 💥
Movies Recommender
⭐
8
A system to recommend movies according to ratings provided by users using Collaborative Filtering Learning Algorithm.
Movie Recommendation System
⭐
8
Movie Recommendation System using the MovieLens dataset
Recommendation Engine
⭐
8
Recommendation engine and it's algorithms in python , R .
Mef
⭐
7
Datasets and source code for reproducing the paper 'Integrating multiple evidence sources to predict adverse drug reactions based on systems pharmacology model'.
Product Matching
⭐
7
The topic is about product matching via Machine Learning. This involves using various machine learning techniques such as natural language processing, image recognition, and collaborative filtering algorithms to match similar products together.
Steam Recommendations
⭐
7
Recommending games to Steam users 🎮
Movie Recommendation Engines
⭐
6
Writing recommendation systems for movies, and performing data analysis on movie datasets to gain valuable insights.
Hybrid Recommender System
⭐
6
A repository for a machine learning project about creating a hybrid movie recommender system.
Movy Matchism
⭐
6
A Movie recommendation System
A Comparative Analysis Of Amazon Book Ratings Using Collaborative Filtering
⭐
6
Juxtaposing different Recommender Algorithms by utilizing the concept of Collaborative Filtering to analyze the Amazon Book Ratings.
Recommendation System
⭐
5
A movie recommendation system trained on the MovieLens 20 Million dataset. This system makes use of Collaborative filtering methods to come up with recommendations for a particular user.
Jobrecsys
⭐
5
ACM RecSys Challenge 2016: Job recommender system for XING
Tfmf
⭐
5
Collaborative Filtering Using Matrix Factorization in TensorFlow
Jpl Framework
⭐
5
Java framework for Preference Learning
Related Searches
Python Machine Learning (14,099)
Jupyter Notebook Machine Learning (12,247)
Machine Learning Neural Network (4,397)
Machine Learning Tensorflow (4,050)
Machine Learning Natural Language Processing (3,891)
Machine Learning Artificial Intelligence (3,877)
Machine Learning Data Science (3,802)
Machine Learning Pytorch (2,910)
Machine Learning Dataset (2,298)
Machine Learning Computer Vision (1,966)
1-46 of 46 search results
Privacy
|
About
|
Terms
|
Follow Us On Twitter
Copyright 2018-2024 Awesome Open Source. All rights reserved.