1118 Open source projects that are alternatives of or similar to Rectorch

Tensorflow implementation of variational auto-encoder for MNIST

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

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.

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

Training and evaluating a variational autoencoder for pan-cancer gene expression data

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

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.

fastFM: A Library for Factorization Machines

Java-Based Context-aware Recommendation Library

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

A curated list of dedicated resources and applications

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

Assessing Generative Models via Precision and Recall (official repository)

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.

Summary of social recommendation papers and codes

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

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

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.

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

Deep generative models implemented with TensorFlow 2.0: eg. Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Deep Boltzmann Machine (DBM), Convolutional Variational Auto-Encoder (CVAE), Convolutional Generative Adversarial Network (CGAN)

Disentagnled Graph Collaborative Filtering, SIGIR2020

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

A system that will help in a personalized recommendation of courses for an upcoming semester based on the performance of previous semesters.

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…

An implementation of VAEGAN (variational autoencoder + generative adversarial network).

In this code we implement and compared Collaborative Filtering algorithm, prediction algorithms such as neighborhood methods, matrix factorization-based ( SVD, PMF, SVD++, NMF), and many others.

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

LibRec: A Leading Java Library for Recommender Systems, see

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

Lagrangian VAE

Timbre transfer with variational autoencoding and cycle-consistent adversarial networks. Able to transfer the timbre of an audio source to that of another.

Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques

UC Berkeley team's submission for RecSys Challenge 2018

The implementation of "Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence"

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Experiments with Adversarial Autoencoders using Keras

A Clojure library for querying large data-sets on similarity

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

A Curated List of Must-read Papers on Recommender System.

AE and VAE Playground in PyTorch

Neural Graph Collaborative Filtering, SIGIR2019

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)

An open source recommender system service written in Go

🌊 FluRS: A Python library for streaming recommendation algorithms

An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018

Machine Learning Platform and Recommendation Engine built on Kubernetes

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

Kalman Variational Auto-Encoder

Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090

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

Reconstruction of three-dimensional porous media using generative adversarial neural networks

Projecting images to latent space with StyleGAN2.

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

Deep reinforcement learning for recommendation system

A tool to update freenom's dns records

Code for "A-NICE-MC: Adversarial Training for MCMC"

A Pytorch implementation of Stylegan2 with UNet Discriminator

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

Privacy-preserving generative deep neural networks support clinical data sharing