Alternatives and similar repositories for recsys-dataset:

Users that are interested in recsys-dataset are comparing it to the libraries listed below

• cdeotte / Kaggle-OTTO-Comp
  ☆82Updated last year
• NVIDIA-Merlin / competitions
  Solutions to Recommender Systems competitions
  ☆199Updated 2 years ago
• rn5l / session-rec
  Python-based framework for building and evaluating session-based and session-aware recommender systems.
  ☆386Updated 3 years ago
• TheoViel / kaggle_otto_rs
  3rd Place Solution for the OTTO – Multi-Objective Recommender System Competition
  ☆93Updated last year
• fidelity / mab2rec
  [AAAI 2024] Mab2Rec: Multi-Armed Bandits Recommender
  ☆132Updated 3 months ago
• etlundquist / rankfm
  Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
  ☆171Updated 5 months ago
• massquantity / LibRecommender
  Versatile End-to-End Recommender System
  ☆402Updated 2 weeks ago
• khanhnamle1994 / MetaRec
  PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
  ☆300Updated 2 years ago
• otto-de / TRON
  ⚡️ Implementation of TRON: Transformer Recommender using Optimized Negative-sampling, accepted at ACM RecSys 2023.
  ☆65Updated last year
• rapidsai / deeplearning
  ☆344Updated 3 years ago
• NVIDIA-Merlin / Transformers4Rec
  Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
  ☆1,147Updated 3 months ago
• bschifferer / Kaggle-Otto-Comp
  I share my solution for the Otto Competition, scoring LB 0.601, using Reranker, Transformers and GRU
  ☆24Updated last year
• asash / bert4rec_repro
  ☆124Updated last year
• statisticianinstilettos / recmetrics
  A library of metrics for evaluating recommender systems
  ☆574Updated last year
• NVIDIA-Merlin / models
  Merlin Models is a collection of deep learning recommender system model reference implementations
  ☆266Updated 8 months ago
• CVxTz / recommender_transformer
  ☆83Updated 3 years ago
• beta-team / beta-recsys
  Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems
  ☆164Updated last week
• logicai-io / recsys2019
  ☆94Updated last year
• baosenguo / Kaggle-MoA-2nd-Place-Solution
  ☆167Updated 4 years ago
• je-dbl / GNN-RecSys
  Graph Neural Networks for Recommender Systems
  ☆287Updated 3 years ago
• eugeneyan / recsys-nlp-graph
  🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline.
  ☆137Updated 6 months ago
• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆321Updated last year
• easezyc / Multitask-Recommendation-Library
  MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.
  ☆304Updated 2 years ago
• Wp-Zhang / H-M-Fashion-RecSys
  🥈 Silver Medal Solution to Kaggle H&M Personalized Fashion Recommendations
  ☆65Updated 2 years ago
• NVIDIA-Merlin / publications
  ☆61Updated 4 months ago
• yoongi0428 / RecSys_PyTorch
  PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.
  ☆140Updated 3 years ago
• jaywonchung / BERT4Rec-VAE-Pytorch
  Pytorch implementation of BERT4Rec and Netflix VAE.
  ☆370Updated last year
• gauravchak / two_tower_models
  We write sample code for two tower models for retrieval and add RLHF/RLAIF style alignment with a ranking model to make the retrieval mor…
  ☆45Updated 3 weeks ago
• archersama / IntTower
  Source code of CIKM 2022 and DLP-KDD workshop 2022 Best Paper: IntTower-“ IntTower: the Next Generation of Two-Tower Model for Pre-rankin…
  ☆59Updated last year
• hungpthanh / GRU4REC-pytorch
  An other implementation of GRU4REC using PyTorch
  ☆246Updated 3 years ago