Awesome Open Source
Search results for deep learning recommender system
290 search results found
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
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
A Curated List of Must-read Papers on Recommender System.
Deep Learning Interview Book
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Accelerated deep learning R&D
Papers on Computational Advertising
A unified, comprehensive and efficient recommendation library
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
Classic papers and resources on recommendation
A Deep Learning Recommender System
Pytorch domain library for recommendation systems
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
Neural Collaborative Filtering
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
Deep learning for recommender systems
Machine Learning Platform and Recommendation Engine built on Kubernetes
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
Awesome Deep Learning Papers For Search Recommendation Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
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.
DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
Next RecSys Library
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
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.
Deep Recommender System
This repository includes some papers that I have read or which I think may be very interesting.
Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).
Deep Ctr Prediction
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
TenforFlow Implementation of Neural Factorization Machine
The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX
High performance distributed framework for training deep learning recommendation models based on PyTorch.
Some deep learning based recsys for open learning.
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.
Recommendation System using ML and DL
Tensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distribu
OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
TensorFlow Implementation of Attentional Factorization Machine
Neural Collaborative Filtering
pytorch version of neural collaborative filtering
SASRec: Self-Attentive Sequential Recommendation
Using Keras to implement recommender systems
Artificial Intelligence Projects
Collection of Artificial Intelligence projects.
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
Deep Learning Computer Vision Algorithms for Real-World Use
A general purpose recommender metrics library for fair evaluation.
Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems
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
Versatile End-to-End Recommender System
Recommendation Systems Paperlist
Papers about recommendation systems that I am interested in
Summary Of Recommender System Papers
Merlin Models is a collection of deep learning recommender system model reference implementations
Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
Go DeepLearning based Recommendation Framework
Collaborative Memory Network for Recommendation Systems, SIGIR 2018
Recs At Resonable Scale
Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow
Recommender systems for Go
A highly-modularized and recommendation-efficient recommendation library based on PyTorch.
RecTools - library to build Recommendation Systems easier and faster than ever before
Implementation of the "Deep Matrix Factorization Models for Recommender Systems"
rec_pangu is a flexible open-source project for recommendation systems. It incorporates diverse AI models like ranking algorithms, sequence recall, multi-interest models, and graph-based techniques. Designed for both beginners and advanced users, it enables rapid construction of efficient, custom recommendation engines.
A high-performance framework for training wide-and-deep recommender systems on heterogeneous cluster
推荐系统资料笔记收录/ Everything about Recommendation System. 专题/书籍/论文/产品
Deploy recommendation engines with Edge Computing
Book Recommendation System built for Book Lovers📖. Simply Rate ⭐ some books and get immediate recommendations🤩
This is our implementation of DeepCoNN
This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.
Machine learning for beginner(Data Science enthusiast)
A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.
Summary of social recommendation papers and codes
Large batch training of CTR models based on DeepCTR with CowClip.
Deep recommender systems for Rust
ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) prediction, learning-to-ranking (LTR), and Matrix/Tensor Embedding. The project objective is to develop an ecosystem to experiment, share, reproduce, and deploy in real-world in a smooth and easy way.
A python library for music recommendation
Deep learning based image similarity search for product recommendations
Deep Learning for Recommender Systems - Master Thesis, Current Results and Architecture
Sequential deep matching model for recommender system at Alibaba
Conversational Recommender System (CRS) paper list. 对话推荐系统论文列表
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.
Mxnet For Cdl
Collaborative Deep Learning for Recommender Systems.
Ineuron Full Stack Data Science Assignments
This Repository consists of Assignments and projects of the iNeuron Full Stack Data Science Course
This is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations
Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.
Strata Conference Ca 2018
environment setup for strata conference 2018
Official Code for 'Collaborative Deep Learning for Recommender Systems' - SIGKDD
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
A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).
Python3 Deep Learning (21,999)
Python2 Deep Learning (21,999)
Python Deep Learning (13,092)
Jupyter Deep Learning (10,328)
Ml Deep Learning (9,288)
Jupyter Notebook Deep Learning (6,566)
Deep Learning Pytorch (6,151)
Deep Learning Tensorflow (4,441)
Deep Learning Neural Network (4,197)
Deep Learning Cnn (3,932)
1-100 of 290 search results
Follow Us On Twitter
Copyright 2018-2023 Awesome Open Source. All rights reserved.