Alternatives and similar repositories for hello-ltr:

Users that are interested in hello-ltr are comparing it to the libraries listed below

• o19s / hello-ltr
  Set of Jupyter notebooks demonstrating Learning to Rank integrated with Solr and Elasticsearch
  ☆171Updated last month
• shuttie / esci-s
  Extra product metadata for the Amazon ESCI dataset
  ☆46Updated 2 years ago
• sophwats / learning-to-rank
  ☆44Updated 5 years ago
• gsingers / search_with_machine_learning_course
  Public repository for the Search with Machine Learning course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://coris…
  ☆54Updated last year
• coveooss / SIGIR-ecom-data-challenge
  ☆101Updated 7 months ago
• NVIDIA-Merlin / publications
  ☆61Updated last month
• 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…
  ☆65Updated 2 months ago
• biarne-a / hm-two-step-reco
  An implementation of a full two-step recommendation pipeline applied on the Kaggle H&M data
  ☆23Updated 2 years ago
• criteo-research / bandit-reco
  ☆50Updated 4 years ago
• amazon-science / esci-data
  Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search
  ☆284Updated 6 months ago
• labdac / Meta-Prod2Vec
  Repository for experiments with MetaProd2Vec and related algorithms.
  ☆58Updated 6 years ago
• jacopotagliabue / retail-personalization-workshop
  In-Session Personalization Workshop for eCommerce, April 2021, and the MICES Workshop in June 2021.
  ☆22Updated 3 years ago
• vinid / prodb
  ☆18Updated 2 years ago
• lenskit / lk-demo-experiment
  Example project for running LensKit experiments
  ☆13Updated last week
• sparsh-ai / reco-bandit
  Building recommender Systems using contextual bandit methods to address cold-start issue and online real-time learning
  ☆11Updated 3 years ago
• mottalrd / learning-to-rank
  Experiments on how to use machine learning to rank a product catalog
  ☆84Updated 8 years ago
• gauravchak / user_preference_modeling
  Multiple ways to model user preference in recommender systems
  ☆14Updated 11 months ago
• pplonski / data-drift-detection
  Dashboard for Data Drift Detection in Python with Evidently and Mercury
  ☆14Updated 2 years ago
• umeshksingla / news-recommend-ire
  Stream Data based News Recommendation - Contextual Bandit Approach
  ☆48Updated 7 years ago
• DomainGroupOSS / ml-recsys-tools
  ☆16Updated 6 years ago
• airalcorn2 / Solr-LTR
  From Zero to Learning to Rank in Apache Solr
  ☆180Updated 4 years ago
• o19s / elasticsearch-ltr-demo
  This demo uses data from TheMovieDB (TMDB) to demonstrate using Ranklib learning to rank models with Elasticsearch.
  ☆36Updated 2 years ago
• awslabs / neptuneml-toolkit
  ☆28Updated 9 months ago
• aws-samples / amazon-sagemaker-custom-recommender-system
  ☆32Updated 2 years ago
• gsingers / search_fundamentals_course
  Public repository for the Search Fundamentals course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://corise.com/cour…
  ☆42Updated last year
• januverma / transformers-stuff
  Codes, scripts, and notebooks on various aspects of transformer models.
  ☆27Updated 2 years ago
• Akxay / recommendation_engine
  ☆23Updated 6 years ago
• mariyahendriksen / awesome-intent-analysis
  Reading list for research topics in intent analysis.
  ☆15Updated last year
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated 3 months ago
• joseprsm / rexify
  🦖 Streamlined Recommender Systems with TensorFlow and KubeFlow
  ☆18Updated last year