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Search results for machine learning recommender system
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Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Best Practices on Recommendation Systems
Qdrant - Vector Database for the next generation of AI applications. Also available in the cloud https://cloud.qdrant.io/
Gorse open source recommender system engine
Deep Learning Interview Book
A Python implementation of LightFM, a hybrid recommendation algorithm.
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Accelerated deep learning R&D
Papers on Computational Advertising
Deep recommender models using PyTorch.
Learning to Rank in TensorFlow
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
Deep Learning For Recommendation Systems
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
Classic papers and resources on recommendation
A Deep Learning Recommender System
Machine Learning Specialization Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Machine Learning Platform and Recommendation Engine built on Kubernetes
A TensorFlow recommendation algorithm and framework in Python.
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
fastFM: A Library for Factorization Machines
DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"
NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.
TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
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.
A Configurable Recommender Systems Simulation Platform
Behavioral "black-box" testing for recommender systems
Ajax Movie Recommendation System With Sentiment Analysis
A content-based recommender system that recommends movies similar to the movie the user likes and analyses the sentiments of the reviews given by the user
High performance distributed framework for training deep learning recommendation models based on PyTorch.
We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.
TensorFlow Implementation of Attentional Factorization Machine
OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018
Artificial Intelligence Projects
Collection of Artificial Intelligence projects.
A general purpose recommender metrics library for fair evaluation.
Deep Learning Computer Vision Algorithms for Real-World Use
[电影推荐系统] Based on the movie scoring data set, the movie recommendation system is built with FM and LR as the core(基于爬取的电影评分数据集，构建以FM和LR为核心的电影推荐系统).
RecDB is a recommendation engine built entirely inside PostgreSQL
跨平台/多语言的 相似向量/相似词/相似句 高性能检索引擎。欢迎star & fork。Build together! Power another !
Must Read Papers For Ml
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
A C library for product recommendations/suggestions using collaborative filtering (CF)
🛍 A real-world e-commerce dataset for session-based recommender systems research.
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Merlin Models is a collection of deep learning recommender system model reference implementations
code samples for the goodreads datasets
Applying Data Science and Machine Learning to Solve Real World Business Problems
Spotify Recommendation Engine
Music Recommender System
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
Recommender systems for Go
RecTools - library to build Recommendation Systems easier and faster than ever before
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
A recommender system for discovering GitHub repos, built with Apache Spark
Deploy recommendation engines with Edge Computing
Book Recommendation System built for Book Lovers📖. Simply Rate ⭐ some books and get immediate recommendations🤩
recommender system tutorial with Python
Machine learning for beginner(Data Science enthusiast)
Sagemaker Ml Workflow With Apache Airflow
This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airflow.
🌊 FluRS: A Python library for streaming recommendation algorithms
Deep recommender systems for Rust
Movie Recommender System
Basic Movie Recommendation Web Application using user-item collaborative filtering.
Github Recommendation Engine
A github repository suggestion system
Building Recommender Systems With Machine Learning And Ai
Building Recommender Systems with Machine Learning and AI, published by Packt
Data Science Popular Algorithms
Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.
A recommender system built for book lovers.
Merlin Systems provides tools for combining recommendation models with other elements of production recommender systems (like feature stores, nearest neighbor search, and exploration strategies) into end-to-end recommendation pipelines that can be served with Triton Inference Server.
Recommendation Engine using Azure ML Studio to recommend related movies.
Ineuron Full Stack Data Science Assignments
This Repository consists of Assignments and projects of the iNeuron Full Stack Data Science Course
Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.
Machine Learning (EE 5184) in NTU
A recommendation framework for distributed model building and evaluation with PySpark.
Awesome Python Machine Learning Resources
a collection of awesome machine learning and deep learning Python libraries&tools. 热门实用机器学习和深入学习Python库和工具的集合
Samantha - A generic recommender and predictor server
A curated list of repositories for my book Machine Learning Solutions.
PyTorch Implementation for Neural Graph Collaborative Filtering
It was built a web application as a step forward in building a 3D recommendation system.
#FilmAB Projemiz Türkçe Veri Kümesi de oluşturduğumuz bir film öneri robotudur. Arayüzümüz açıldığında size iki seçenek sunar: 1. Özet girerek: Nasıl bir film izlemek istediğinizi belirterek, 2. Birkaç film ismi girerek: Verdiğiniz filmlere benzer film isteyerek, veri kümesinde uygun filmi bulabilirsiniz. #Acıkhack2022TDDİ
Recommender System Datasets
A list of compatible datasets, noting other major repositories containing popular real-world datasets, along with sample code for a range of recommendation tasks.
Large scale training of factorization models for Collaborative Filtering with PyTorch
Mengting Wan, Julian McAuley, "Item Recommendation on Monotonic Behavior Chains", in Proc. of 2018 ACM Conference on Recommender Systems (RecSys'18), Vancouver, Canada, Oct. 2018.
Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning
Awesome Recommendation Engine
The purpose of this tiny project is to put things together with the know how that i learned from the course big data expert from formacionhadoop.com The idea is to show how to play with apache spark streaming, kafka,mongo, spark machine learning algorithms.
Tf Reco Workshop
Deep Learning with TensorFlow Workshop 1 - Recommender System
Building recommender systems in Julia
The 4th Place Solution to the 2019 ACM Recsys Challenge by Team RosettaAI
Interaction Aware Factorization Machines
Tensorflow implementation for Interaction-aware factorization machines
2017 Spring (105-2) -- Machine Learning
The recommendation engine with particular focus on uniqueness of the person receiving the rec.
🛍️RetailBox - eCommerce Recommender System using Machine Learning
Elastic Graph Recommender
Building recommenders with Elastic Graph!
A _guide_ To_data_sciecne_from_mathematics
It is a blueprint to data science from the mathematics to algorithms. It is not completed.
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