425 Open source projects that are alternatives of or similar to Awesome-Machine-Learning-Papers

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.

Recommender Systems Paperlist that I am interested in

content discovery... IN 3D

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.

scikit-fusion: Data fusion via collective latent factor models

tf-recsys contains collaborative filtering (CF) model based on famous SVD and SVD++ algorithm. Both of them are implemented by tensorflow in order to utilize GPU acceleration.

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

entity2rec generates item recommendation using property-specific knowledge graph embeddings

BPR, Bayesian Personalized Ranking (BPR), extremely convenient BPR & Multiple Pairwise Ranking

LibRec: A Leading Java Library for Recommender Systems, see

Java-Based Context-aware Recommendation Library

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

Nimfa: Nonnegative matrix factorization in Python

WWW'2019: Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems

Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation - ECIR 2020

A tutorial on scalable retrieval of matrix factorization recommendations

CSKG: The CommonSense Knowledge Graph

🚣 A simple recommendation engine (by way of convolutions and embeddings) written in TensorFlow

Improving cross-lingual word embeddings by meeting in the middle

Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.

Fast item-to-item recommendations on the command line.

Subgraph Neural Networks (NeurIPS 2020)

Named-Entity Recognition in Persian Language

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.

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.

This is a Machine Learning project to create a "Movie Recommender System" and predict user ratings for movies using cosine similarity.

MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021

Information Retrieval in High Dimensional Data (class deliverables)

Factorization Machine, Deep Learning, Recommender System

Evaluate your word embeddings

VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning

PyTorch(1.6+) implementation of https://github.com/kang205/SASRec

Deep Learning and Machine Learning mini-projects. Current Project: Deepmind Attentive Reader (rc-data)

Recommend system learning resources and learning notes

collaborative filtering in mysql

A python library for music recommendation

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

Knowledge-aware recommendation papers.

Neural network transition-based dependency parser (in Rust)

Search/Recommendation engine and metainformation server for fanfiction net

Reference implementation of the paper "Word Embeddings for Entity-annotated Texts"

Intelligent Word Embeddings of Free-Text Radiology Reports

QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

a small collection of models implemented in keras, including matrix factorization(recommendation system), topic modeling, text classification, etc. Runs on tensorflow.

Recommender built using keras

OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1

Using efficientnet to provide embeddings for retrieval

Ensemble topic modelling with pLSA

*SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach

An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)

Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets

This is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations

机器学习、深度学习基础知识. 推荐系统及nlp相关算法实现

(Python, R, C++) Library-agnostic evaluation framework for implicit-feedback recommender systems

Computational Methods for Numerical Analysis

A configurable, tunable, and reproducible library for deep matching models

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

Representation Learning and Pairwise Ranking for Implicit Feedback in Top-N Item Recommendation