382 Open source projects that are alternatives of or similar to Polara

个性化新闻推荐系统，A news recommendation system involving collaborative filtering,content-based recommendation and hot news recommendation, can be adapted easily to be put into use in other circumstances.

The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.

TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems

Recurrence the recommender paper with Tensorflow2.0

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

Lightweight Python library for in-memory matrix completion.

fastFM: A Library for Factorization Machines

Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.

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

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

Tensorflow implementation of different GANs and their comparisions

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

Machine Learning Platform and Recommendation Engine built on Kubernetes

🍃 Recommender System in JavaScript for the MovieLens Database

📝 SZU Undergraduate Thesis -- Recommender System

基于协同过滤的书籍推荐系统

scikit-fusion: Data fusion via collective latent factor models

Python package for the evaluation of odometry and SLAM

Using Deep Autoencoders for predictions of movie ratings.

Python module for evaluating ASR hypotheses (e.g. word error rate, word recognition rate).

ROUGE automatic summarization evaluation toolkit. Support for ROUGE-[N, L, S, SU], stemming and stopwords in different languages, unicode text evaluation, CSV output.

计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估

Palmetto is a quality measuring tool for topics

人工智能学习资料超全整理，包含机器学习基础ML、深度学习基础DL、计算机视觉CV、自然语言处理NLP、推荐系统、语音识别、图神经网路、算法工程师面试题

A command line tool for diffing json rest APIs

TedEval: A Fair Evaluation Metric for Scene Text Detectors

Deep reinforcement learning for recommendation system

A version of eval for R that returns more information about what happened

跨平台/多语言的 相似向量/相似词/相似句 高性能检索引擎。功能强大，使用方便。欢迎star & fork。Build together! Power another !

TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation

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

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

Paper list of NLP for recommender systems

KDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall first place

R interface to fast.ai

SQL Eval Function | Dynamically Evaluate Expression in SQL Server using C# Syntax

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.

Empirical Evaluation on Current Neural Networks on Cloze-style Reading Comprehension

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

Sequential deep matching model for recommender system at Alibaba

GraphMat graph analytics framework

To keep updates with VRU Grand Challenge, please use https://github.com/NExTplusplus/VidVRD-helper

Word Embeddings for Information Retrieval

Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec

INGInious is a secure and automated exercises assessment platform using your own tests, also providing a pluggable interface with your existing LMS.

rnn based model for recommendations

Robust PCA implementation and examples (Matlab)

An index of algorithms for learning causality with data

Python 3.6 下的推荐算法解析，尽量使用简单的语言剖析原理，相似度度量、协同过滤、矩阵分解等

entity2rec generates item recommendation using property-specific knowledge graph embeddings

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

MADS: Model Analysis & Decision Support

Text Mining and Topic Modeling Toolkit for Python with parallel processing power

A REPL for D

This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)

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

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

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

Arbitrary expression evaluation for golang