Alternatives and similar repositories for complementary_products_suggestions:

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

• xei / recommender-system-tutorial
  A step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras.
  ☆184Updated 7 months ago
• januverma / transformers-for-sequential-recommendation
  Notebooks on using transformers for sequential recommendation tasks
  ☆16Updated 2 years ago
• ThomasRobertFr / ml-project-structure
  Basic structure for machine learning projects
  ☆53Updated 8 years ago
• fastforwardlabs / session_based_recommenders
  Official repo for FF19: Session-based Recommender Systems
  ☆41Updated 3 years ago
• eugeneyan / recsys-nlp-graph
  🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline.
  ☆140Updated 7 months ago
• hojinYang / tfrs-movierec-serving
  Packaged movie recommenders as REST API using tensorflow-recommenders
  ☆22Updated 4 years ago
• aditya00kumar / document-classification
  This project is an attempt to provide a generic pipeline for document classification using different machine learning models.
  ☆7Updated 5 years ago
• fickaz / TFRS-on-Retail-Data
  Tensorflow Recommenders with Example on Retail Data
  ☆19Updated 3 years ago
• siftly-ai / airdot-deployer
  Tool to take your ML model from local to production with one-line of code.
  ☆25Updated last year
• CVxTz / recommender_transformer
  ☆83Updated 3 years ago
• RecList / evalRS-CIKM-2022
  Official Repository for EvalRS @ CIKM 2022: a Rounded Evaluation of Recommender Systems
  ☆70Updated 10 months ago
• gauravchak / user_preference_modeling
  Multiple ways to model user preference in recommender systems
  ☆14Updated 9 months ago
• sophwats / learning-to-rank
  ☆44Updated 5 years ago
• hyunjoonbok / Recommendation_System-PyTorch
  Full Implementation of Recommender System in Pytorch (with examples)
  ☆27Updated 4 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆37Updated 2 years ago
• Med-ELOMARI / LightFM-Dataset-Helper
  python package to help preparing Dataframes (csv ... ) for LightFM module for easy Training
  ☆20Updated 2 years ago
• lenskit / lk-demo-experiment
  Example project for running LensKit experiments
  ☆13Updated last week
• januverma / transformers-stuff
  Codes, scripts, and notebooks on various aspects of transformer models.
  ☆27Updated last year
• microsoft / rankerEval
  A fast numpy-based implementation of ranking metrics for information retrieval and recommendation.
  ☆32Updated 2 years ago
• mallahyari / ml_tutorial
  This repository explains machine learning concepts
  ☆54Updated last year
• PacktPublishing / Building-Recommender-Systems-with-Machine-Learning-and-AI
  Building Recommender Systems with Machine Learning and AI, published by Packt
  ☆101Updated 2 years ago
• PreferredAI / tutorials
  A tutorial series by Preferred.AI
  ☆171Updated 9 months ago
• deeppavlov / dp_tutorials
  ☆33Updated 5 years ago
• hellomikelo / pair
  Pair: image-based product collection recommender
  ☆19Updated 5 years ago
• quizlet / abracadabra
  Making hypothesis and AB testing magically simple!
  ☆40Updated last year
• ISG-Siegen / Auto-Surprise
  An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning
  ☆26Updated 8 months ago
• dipanjanS / adv_nlp_workshop_odsc_europe22
  Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage deep learning and deep tr…
  ☆49Updated last year
• wolfecameron / music_recommendation
  contains the notebooks that I created for implementing probabilistic matrix factorization in PyTorch for music recommendation engine.
  ☆17Updated 5 years ago
• NVIDIA-Merlin / publications
  ☆61Updated 5 months ago
• ahmedbesbes / multi-label-sentiment-classifier
  How to build a multi-label sentiment classifiers with Tez and PyTorch
  ☆19Updated 3 years ago