39 Open source projects that are alternatives of or similar to Deeplearning_Image_Similarity

recommender system tutorial with Python

🖼️ 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch implementation of "Learning Fine-grained Image Similarity with Deep Ranking" (arXiv:1404.4661)

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ML-powered Music Recommendation Engine

🛍️RetailBox - eCommerce Recommender System using Machine Learning

Examples of all Machine Learning Algorithm in Apache Spark

A lightweight product recommendation system (Item Based Collaborative Filtering) developed in Haskell.

Interactive Image similarity and Visual Search and Retrieval application

📊 A Recombee integration for Laravel

Movie Recommendation Chatbot provides information about a movie like plot, genre, revenue, budget, imdb rating, imdb links, etc. The model was trained with Kaggle’s movies metadata dataset. To give a recommendation of similar movies, Cosine Similarity and TFID vectorizer were used. Slack API was used to provide a Front End for the chatbot. IBM W…

Machine learning for beginner(Data Science enthusiast)

Source code and dataset for paper "CBMR: An optimized MapReduce for item‐based collaborative filtering recommendation algorithm with empirical analysis"

A C library for product recommendations/suggestions using collaborative filtering (CF)

Recommendations for Ruby and Rails using collaborative filtering

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

recommenderlab - Lab for Developing and Testing Recommender Algorithms - R package

Deep learning for recommender systems

Site de recommandation de mangas et d'anime

Towards A Standardized Tag Recommender Benchmarking Framework

Machine Learning Platform and Recommendation Engine built on Kubernetes

Simple recommendation engine implementation built on top of Redis

A simple recommendation engine for Rails/Postgres

Best Practices on Recommendation Systems

Java-Based Context-aware Recommendation Library

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

A collection of small bash scripts for heavy terminal users

A curated list of repositories for my book Machine Learning Solutions.

Apache Zeppelin notebooks for Recommendation Engines using Keras and Machine Learning on Apache Spark

Dice.com's relevancy feedback solr plugin created by Simon Hughes (Dice). Contains request handlers for doing MLT style recommendations, conceptual search, semantic search and personalized search

Neo4j-based recommendation engine module with real-time and pre-computed recommendations.

A Comparative Framework for Multimodal Recommender Systems

RecDB is a recommendation engine built entirely inside PostgreSQL

A simple movie recommendation engine

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

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

A Hybrid recommendation engine built on deep learning architecture, which has the potential to combine content-based and collaborative filtering recommendation mechanisms using a deep learning supervisor

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

InfoGAN inspired neural network trained on zap50k images (using Tensorflow + tf-slim). Intermediate layers of the discriminator network are used to do image similarity.

Image similarity using Triplet Loss