Darel13712 / ease_recLinks
embarrassingly shallow autoencoder
☆68Updated 3 years ago
Alternatives and similar repositories for ease_rec
Users that are interested in ease_rec are comparing it to the libraries listed below
Sorting:
- Implementation of Embarrassingly Shallow Autoencoders (Harald Steck) in PyTorch☆35Updated 2 years ago
- The official PyTorch implementation of the paper "RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback"☆119Updated last year
- Variational Autoencoders for Collaborative Filtering - Implementation in PyTorch☆133Updated 4 years ago
- ⚡️ Implementation of TRON: Transformer Recommender using Optimized Negative-sampling, accepted at ACM RecSys 2023.☆73Updated 7 months ago
- ☆130Updated 2 years ago
- ☆25Updated 4 years ago
- Python-based framework for building and evaluating session-based and session-aware recommender systems.☆390Updated 4 years ago
- Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems☆169Updated last month
- SANSA - sparse EASE for millions of items☆44Updated last month
- Framework for Interactive Evaluation of Recommender Systems☆35Updated 2 years ago
- Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation☆294Updated last week
- A link to frameworks useful for the evaluation and reproducibility of recorecommendation algorithms☆65Updated last year
- [ NeurIPS '22 ] ∞-AE model's implementation in JAX. Kernel-only method outperforms complicated SoTA models with a closed-form solution an…☆55Updated 2 years ago
- PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.☆145Updated 4 years ago
- ☆56Updated last year
- PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models☆310Updated 3 years ago
- Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms☆46Updated 6 years ago
- High-performance KNN similarity functions in Python, optimized for sparse matrices☆58Updated last month
- High-performance implementation of SLIM-based approaches for Top-N recommendation☆113Updated 4 years ago
- Official Repository for EvalRS @ CIKM 2022: a Rounded Evaluation of Recommender Systems☆71Updated last year
- https://sites.google.com/cornell.edu/recsys2021tutorial☆56Updated 3 years ago
- A pytorch implementation for BPR (Bayesian Personalized Ranking).☆144Updated 6 years ago
- Bayesian Personalized Ranking using PyTorch☆139Updated 9 months ago
- Accompanying code for the paper Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks, accepted at ACM RecSys 2020.☆36Updated 5 years ago
- ☆12Updated 5 years ago
- FINN.no Slate Dataset for Recommender Systems. A dataset containing all interactions (viewed items + response (clicked item / no click) f…☆54Updated 2 years ago
- ☆51Updated 4 years ago
- Pytorch implementation of BERT4Rec and Netflix VAE.☆407Updated 2 years ago
- This repository contains code for paper GLocal-K: Global and Local Kernels for Recommender Systems, published in CIKM 2021☆64Updated 3 years ago
- Tool for autodownloading recommendation systems datasets☆42Updated 3 years ago