366 Open source projects that are alternatives of or similar to Rival

A library & tools to evaluate predictive language models.

Math expression parser and evaluation library for Rust

A simple movie recommendation engine

🗞news scraping and recommendation system

Compatibility Family Learning for Item Recommendation and Generation

基于 Pytorch 实现推荐系统相关的算法

Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"

Large scale training of factorization models for Collaborative Filtering with PyTorch

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

Accelerated deep learning R&D

TedEval: A Fair Evaluation Metric for Scene Text Detectors

Classic papers and resources on recommendation

Implementation of Bayesian Personalized Ranking (BPR) for Multiple Feedback Channels

Attention,Factorization Machine, Deep Learning, Recommender System

Visual Object Tracking (VOT) challenge evaluation toolkit

The Web IR / NLP Group (WING)'s public reading group at the National University of Singapore.

Parsing and evaluating mathematical formulas given as strings.

A Python implementation of LightFM, a hybrid recommendation algorithm.

This is our implementation of SAMN: Social Attentional Memory Network

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

Deep reinforcement learning for recommendation system

Machine Learning (EE 5184) in NTU

This is the official repository for the Recommender Systems course at Politecnico di Milano.

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

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

Paper list of NLP for recommender systems

Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation

entity2rec generates item recommendation using property-specific knowledge graph embeddings

Бэйслайн к задаче RetailHero.ai/#2 от @geffy 💪

Recommender systems for Go

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

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

Multiplicative LSTM for Recommendations

A pytorch implementation of He et al. "Neural Collaborative Filtering" at WWW'17

Prototype recommendation engine built to accompany an article on Toptal Blog

[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).

Spark SQL 实现 ItemCF，UserCF，Swing，推荐系统，推荐算法，协同过滤

Applying Data Science and Machine Learning to Solve Real World Business Problems

🍊 👎 Add-on for Orange3 to support recommender systems.

A django app that builds item-based suggestions for users.

🐳基于 Flink 的商品实时推荐系统。使用了 redis 缓存热点数据。当用户产生评分行为时，数据由 kafka 发送到 flink，根据用户历史评分行为进行实时和离线推荐。实时推荐包括：基于行为和实时热门，离线推荐包括：历史热门、历史优质商品和 itemcf 。

Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"

Collection of Artificial Intelligence projects.

Deep Recommenders

Simple Safe Sandboxed Extensible Expression Evaluator for Python

RecQ: A Python Framework for Recommender Systems (TensorFlow Based)

ERRor ANnotation Toolkit: Automatically extract and classify grammatical errors in parallel original and corrected sentences.

Rank and serve recommendations

ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite

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.

This is a repository of public data sources for Recommender Systems (RS).

Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.

Palmetto is a quality measuring tool for topics

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer, Reinforcement Learning, Self-supervised Learning and so on.

Python & Matlab code for local feature descriptor evaluation with the HPatches dataset.

Tensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distributed.

Audio degradation toolbox in python, with a command-line tool. It is useful to apply controlled degradations to audio: e.g. data augmentation, evaluation in noisy conditions, etc.

Fast and lightweight math expression evaluator in C99

ICCV2017 The Person re-ID Evaluation Code for DukeMTMC-reID Dataset (Including Dataset Download)