Alternatives and similar repositories for lk-demo-experiment:

Users that are interested in lk-demo-experiment are comparing it to the libraries listed below

• huyhoang17 / Word2Vec_Recommender_System
  [Tutorial] - Applying Word2Vec technique to Recommendation System a.k.a Item2Vec a.k.a Prod2Vec
  ☆9Updated 3 years ago
• dushyantkhosla / ts-forecasting-ensemble
  CentOS based Docker container for Time Series Analysis and Modeling.
  ☆21Updated 5 years ago
• PiotrTa / Mining-Massive-Datasets
  Data mining algorithms with Python
  ☆10Updated 5 years ago
• JohnSnowLabs / spark-nlp-streamlit
  Spark NLP for Streamlit
  ☆15Updated 3 years ago
• 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
• david-cortes / ctpfrec
  Python implementation of "Content-based recommendations with poisson factorization", with some extensions
  ☆30Updated last year
• jameslamb / lightgbm-dask-testing
  Test LightGBM's Dask integration on different cluster types
  ☆12Updated 3 months ago
• kirajano / two_tower_recommenders
  Building Recommender System with the Two-Tower Architecture
  ☆14Updated 3 years ago
• outbrain-inc / outrank
  A Python library for efficient feature ranking and selection on sparse data sets.
  ☆21Updated last month
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 3 years ago
• januverma / transformers-for-sequential-recommendation
  Notebooks on using transformers for sequential recommendation tasks
  ☆16Updated 2 years ago
• klostest / uplift_modeling
  ☆17Updated 4 years ago
• nickc1 / sklearn_fastapi
  Building an API with the FastAPI framework to serve a scikit-learn model.
  ☆18Updated 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
• AlexIoannides / lime-interpretable-ml
  An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learn…
  ☆15Updated 6 years ago
• kylegallatin / mlops-pipeline
  ☆20Updated 3 years ago
• Fraud-Detection-Handbook / awesome-credit-card-fraud-detection
  A curated list of resources on credit card fraud detection.
  ☆17Updated 4 years ago
• AlexWarembourg / Medium
  Repository for medium article
  ☆22Updated last year
• ing-bank / spark-matcher
  Record matching and entity resolution at scale in Spark
  ☆34Updated last year
• oreillymedia / Data_Analytics_with_Hadoop
  ☆16Updated 7 years ago
• mllite / sklearn_explain
  Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.
  ☆13Updated 4 years ago
• WillKoehrsen / mastering-large-datasets
  Work for Mastering Large Datasets with Python
  ☆19Updated 2 years ago
• DiegoUsaiUK / Propensity_Modelling
  Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign
  ☆27Updated 2 years ago
• thomasjpfan / skconfig
  Experimental library for sampling and validating scikit-learn parameters
  ☆10Updated 6 years ago
• FavioVazquez / ds-optimus
  How to do data science with Optimus, Spark and Python.
  ☆19Updated 5 years ago
• hohsiangwu / kdd-2018-hands-on-tutorials
  KDD Hands-On Tutorial (2018)
  ☆29Updated 2 years ago
• criteo / deepr
  The deepr module provide abstractions (layers, readers, prepro, metrics, config) to help build tensorflow models on top of tf estimators
  ☆52Updated last year
• kirrlix1994 / Retail_hero
  Reatail-hero X5 contest
  ☆13Updated 10 months ago
• dtriepke / nlp_model_selection_app
  ☆16Updated 4 years ago
• maciejkula / explicit-vs-implicit
  An experiment on explicit vs implicit feedback recommenders
  ☆25Updated 7 years ago