900 Open source projects that are alternatives of or similar to netflix-style-recommender

a recommender engine node-js package for general use and easy to integrate.

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Simple machine learning library / 簡單易用的機器學習套件

A PureScript, browser-based implementation of simple linear regression.

NReco Recommender is a .NET port of Apache Mahout CF java engine (standalone, non-Hadoop version)

Disentagnled Graph Collaborative Filtering, SIGIR2020

One Person, One Model, One World: Learning Continual User Representation without Forgetting

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Machine Learning Concepts with Concepts

An index of recommendation algorithms that are based on Graph Neural Networks.

numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法

🛍️RetailBox - eCommerce Recommender System using Machine Learning

Code for Tensorflow Machine Learning Cookbook

Best Practices on Recommendation Systems

Machine Learning Platform and Recommendation Engine built on Kubernetes

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

Multivariable regression library in Go

Movie Recommender based on the MovieLens Dataset (ml-100k) using item-item collaborative filtering.

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

This repository consists of all my Machine Learning Projects.

For extensive instructor led learning

Examples of all Machine Learning Algorithm in Apache Spark

This is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations

Code for Java Deep Learning Cookbook

recommender system tutorial with Python

A simple machine learning framework written in Swift 🤖

I will update this repository to learn Machine learning with python with statistics content and materials

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

Machine learning for beginner(Data Science enthusiast)

Recommendation based on sequence

Classic papers and resources on recommendation

RecDB is a recommendation engine built entirely inside PostgreSQL

Java-Based Context-aware Recommendation Library

Basic Movie Recommendation Web Application using user-item collaborative filtering.

Towards A Standardized Tag Recommender Benchmarking Framework

A Comparative Framework for Multimodal Recommender Systems

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

Recommendations for Ruby and Rails using collaborative filtering

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

🍊 📊 💡 Orange: Interactive data analysis

This is our implementation of SAMN: Social Attentional Memory Network

This is our implementation of EATNN: Efficient Adaptive Transfer Neural Network (SIGIR 2019)

Documentation:

We can lock and unlock our Ubuntu system using face recognition(currently only on Ubuntu).

JUN - python pandas, plotly, seaborn support & dataframes manipulation over erlang

Content from the University of British Columbia's Master of Data Science course DSCI 511.

The main aim of this project is to tell that the certain project will be successful or it will fail by applying machine learning algorithm. In this , LOGISTIC REGRESSION is used to determine the success of the project by splitting the data into training and testing models and predicting a successful one.

Generalized Analog Regression Downscaling (GARD) code

🎶 12-tone matrix to generate dodecaphonic melodies 🎶

Multiplicative LSTM for Recommendations

The interface between FastJet and NumPy

Streaming operations on NumPy arrays

Minimalistic Multiple Layer Neural Network from Scratch in Python.

The implementation of "Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence"

Data and tooling to compare the API surfaces of various array libraries.

Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs

Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking

Some useful extensions for NumPy