Alternatives and similar repositories for wad

Users that are interested in wad are comparing it to the libraries listed below

• Med-ELOMARI / LightFM-Dataset-Helper
  python package to help preparing Dataframes (csv ... ) for LightFM module for easy Training
  ☆20Updated 3 years ago
• RandolphVI / Next-Basket-Recommendation
  About Next Basket Recommendations Based on Neural Network.
  ☆48Updated 5 years ago
• NVIDIA-Merlin / publications
  ☆64Updated 7 months ago
• cemoody / simple_mf
  Simple but Flexible Recommendation Engine in PyTorch
  ☆133Updated 3 years ago
• RaptorMai / Deep-AutoEncoder-Recommendation
  Keras implementation of AutoRec and DeepRecommender from Nvidia.
  ☆63Updated 6 years ago
• MengtingWan / grocery
  models for grocery shopping behavior (Wan et al, CIKM'18, Wan et al, WWW'17)
  ☆53Updated 6 years ago
• kilolgupta / Variational-Autoencoders-Collaborative-Filtering
  This repository contains python (using Keras) code implementing variational autoencoders for collaborative filtering on movielens and spo…
  ☆34Updated 4 years ago
• khanhnamle1994 / MetaRec
  PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
  ☆310Updated 3 years ago
• marlesson / recsys_autoencoders
  This project implements different Deep Autoencoder for Collaborative Filtering for Recommendation Systems in Keras
  ☆53Updated 6 years ago
• paxcema / KerasGRU4Rec
  Keras implementation of GRU4Rec session-based recommender system
  ☆106Updated last year
• jrzaurin / RecoTour
  A tour through recommendation algorithms in python [IN PROGRESS]
  ☆178Updated last year
• etlundquist / rankfm
  Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
  ☆175Updated last year
• mottalrd / learning-to-rank
  Experiments on how to use machine learning to rank a product catalog
  ☆83Updated 8 years ago
• fabioiuri / DRecPy
  Deep Recommenders with Python: A Python library for building Deep Learning based Recommender Systems
  ☆28Updated 4 years ago
• ChenBoSyun / BPR-by-tensorflow
  implement bayesian personalized ranking by tensorflow
  ☆19Updated 7 years ago
• mmaher22 / iCV-SBR
  Benchmarking of Session-based Recommendation Approaches
  ☆30Updated 5 years ago
• spotify-research / cosernn
  Code for the paper "Contextual and Sequential User Embeddings for Large-Scale Music Recommendation".
  ☆39Updated 5 years ago
• eugeneyan / recsys-nlp-graph
  🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline.
  ☆146Updated last year
• fastforwardlabs / session_based_recommenders
  Official repo for FF19: Session-based Recommender Systems
  ☆40Updated 4 years ago
• shuyangli94 / RecSysModels
  TensorFlow implementations of recommender systems models for implicit feedback & sequential actions
  ☆14Updated 7 years ago
• evfro / recsys19_hybridsvd
  Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.
  ☆24Updated 6 years ago
• layer6ai-labs / RecSys2018
  1'st Place Approach by Layer6 AI to the 2018 ACM RecSys Challenge
  ☆83Updated 2 years ago
• chinchi-hsu / KerasCollaborativeFiltering
  My Keras implementation of Matrix Factorization (MF) and Bayesian Personalized Ranking (BPR)
  ☆30Updated 8 years ago
• brian-c-ogorman / ABanditTesting
  No Regrets: A deep dive comparison of bandits and A/B testing
  ☆47Updated 7 years ago
• rn5l / session-rec
  Python-based framework for building and evaluating session-based and session-aware recommender systems.
  ☆390Updated 4 years ago
• beta-team / beta-recsys
  Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems
  ☆170Updated last month
• sophwats / learning-to-rank
  ☆43Updated 6 years ago
• federicoparroni / recsys2019
  The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
  ☆30Updated this week
• microsoft / rankerEval
  A fast numpy-based implementation of ranking metrics for information retrieval and recommendation.
  ☆32Updated 3 years ago
• deezer / carousel_bandits
  Source code and data from the RecSys 2020 article "Carousel Personalization in Music Streaming Apps with Contextual Bandits" by W. Bendad…
  ☆59Updated 5 years ago