211 Open source projects that are alternatives of or similar to Deep Autoencoders For Collaborative Filtering

Next RecSys Library

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

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.

Large scale training of factorization models for Collaborative Filtering with PyTorch

Research on Collaborative Filtering Algorithms

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

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

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GraphMat graph analytics framework

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A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Personalized real-time movie recommendation system

Molecular AutoEncoder in PyTorch

MRSR - Matlab Recommender Systems Research is a software framework for evaluating collaborative filtering recommender systems in Matlab.

Keras implementation of Structural Deep Network Embedding, KDD 2016

Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

TensorFlow and Deep Learning Tutorials

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

A Clojure library for querying large data-sets on similarity

Neural Graph Collaborative Filtering, SIGIR2019

DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

Factorization Machine models in PyTorch

Use unsupervised and supervised learning to predict stocks

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A collection of resources for Recommender Systems (RecSys)

Ranking made easy

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R interface to fast.ai

Automatic Feature Generation for Website Fingerprinting

An open source recommender system service written in Go

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

Advanced Deep Learning with Keras, published by Packt

Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)

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.

Neural Collaborative Filtering

(Python, R, C) Collective (multi-view/multi-way) matrix factorization, including cold-start functionality (recommender systems, imputation, dimensionality reduction)

Torch implementations of various types of autoencoders

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.

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.

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.

several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytorch, theano, keras]

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

PyTorch Blog Post On Image Similarity Search

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Tensorflow implementation of variational auto-encoder for MNIST

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

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

Variational autoencoders for collaborative filtering

A Pytorch implementation for the ZeroSpeech 2019 challenge.

This repo includes the source code of the fully convolutional depth denoising model presented in https://arxiv.org/pdf/1909.01193.pdf (ICCV19)

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

PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)