Variational Autoencoders for Collaborative Filtering - Implementation in PyTorch
☆133Aug 24, 2021Updated 4 years ago
Alternatives and similar repositories for vae-cf-pytorch
Users that are interested in vae-cf-pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Variational autoencoders for collaborative filtering☆543Feb 19, 2018Updated 8 years ago
- The official PyTorch implementation of the paper "RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback"☆120Jun 3, 2024Updated 2 years ago
- Variational Autoencoder for Collaborative Filtering implementation in TensorFlow☆24Jul 23, 2019Updated 7 years ago
- Implementation of variational autoencoders for collaborative filtering in PyTorch☆25May 13, 2019Updated 7 years ago
- This repository contains python (using Keras) code implementing variational autoencoders for collaborative filtering on movielens and spo…☆34Jan 9, 2022Updated 4 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- [ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering☆41May 28, 2021Updated 5 years ago
- Deconfounded Recommendation for Alleviating Bias Amplification☆46Jun 12, 2021Updated 5 years ago
- PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.☆145Jul 20, 2021Updated 5 years ago
- ☆14Jun 19, 2023Updated 3 years ago
- High-performance implementation of SLIM-based approaches for Top-N recommendation☆115Dec 24, 2021Updated 4 years ago
- This repository contains the code used to run generate the data splits, run the hyperparameter tunings, and export the results presented …☆14Jul 22, 2022Updated 4 years ago
- Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms☆46Nov 5, 2019Updated 6 years ago
- ☆15Dec 13, 2022Updated 3 years ago
- CODIGEM - A Denoising Diffusion Probabilistic Model (DDPM) for Collaborative Filtering☆15Apr 8, 2024Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Disentangled Representation Learning for Recommendation, TPAMI 2022☆11Oct 11, 2024Updated last year
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆108Sep 16, 2022Updated 3 years ago
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆107Jun 15, 2023Updated 3 years ago
- ☆12Oct 19, 2020Updated 5 years ago
- A pytorch implementation of He et al. "Neural Collaborative Filtering" at WWW'17☆354Nov 12, 2021Updated 4 years ago
- Pytorch implementation of BERT4Rec and Netflix VAE.☆419Jul 6, 2023Updated 3 years ago
- PyTorch Code for Adversarial and Contrastive AutoEncoder for Sequential Recommendation.☆33May 10, 2021Updated 5 years ago
- Official Code Framework of the paper "Deep Language-based Critiquing for Recommender System"