Alternatives and similar repositories for Recommender_Systems:

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

• minimaxir / amazon-spark
  R Code + R Notebook for analyzing millions of Amazon reviews using Apache Spark
  ☆83Updated 8 years ago
• shik3519 / programming-concepts-for-data-science
  Basics of programming: algorithms, data structures, object oriented programming
  ☆93Updated 6 years ago
• charlsjoseph / PredictiveAnalatics-using-DL4j-and-ApacheSpark
  Predictive analatics using deepLearning4j and Spark
  ☆26Updated 8 years ago
• JasonKessler / Scattertext-PyData
  Notebooks for the Seattle PyData 2017 talk on Scattertext
  ☆142Updated 7 years ago
• garretthoffman / AI_Conf_2019_DL_4_NLP
  Slides and Code Tutorials for AI Conf NY Tutorial on Deep Learning Methodologies for Natural Language Processing
  ☆25Updated 5 years ago
• hainguyen-telenor / Learning-to-rank-from-implicit-feedback
  ☆17Updated 8 years ago
• kwonmha / Improving-RNN-recommendation-model
  Applied weight tying technique to RNN based recommendation model. Implemented with Tensorflow and Keras.
  ☆53Updated 5 years ago
• shik3519 / machine-learning
  Implementation of different machine learning techniques
  ☆94Updated 6 years ago
• Lab41 / hermes
  Recommender System Framework
  ☆125Updated 8 years ago
• lanttern / Recommender-System
  Coursera
  ☆12Updated 9 years ago
• amitkaps / applied-machine-learning
  Applied Machine Learning @ http://amitkaps.com/ml
  ☆38Updated 6 years ago
• analyticalmonk / KMeans_elbow
  Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'
  ☆41Updated 3 weeks ago
• Currie32 / Movie-Reviews-Sentiment
  Used two different methods to predict the sentiment (positive or negative) of movie reviews.
  ☆56Updated 6 years ago
• ethen8181 / Business-Analytics
  Data Analytics, Statistics, Visualization (R / Python)
  ☆92Updated 7 years ago
• howardyclo / kmeans-dbscan-tutorial
  A clustering tutorial with scikit-learn for beginners.
  ☆21Updated 8 years ago
• bhavika / conf
  Code and presentations used in conferences I attend
  ☆59Updated 5 years ago
• datadynamo / strata_ny_2017_recommender_tutorial
  Jupyter Notebooks for Strata Data Conference NY 2017 Deep Learning for Recommender Systems Tutorial
  ☆22Updated 7 years ago
• XD-DENG / Spark-ML-Intro
  PySpark Machine Learning Examples
  ☆45Updated 7 years ago
• yangji9181 / ClusChurn
  A prototype implementation of ClusChurn based on PyTorch.
  ☆52Updated 7 years ago
• MLWave / kaggle_acquire-valued-shoppers-challenge
  Code for the Kaggle acquire valued shoppers challenge
  ☆66Updated 10 years ago
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆52Updated 4 years ago
• meabhishekkumar / strata-conference-ca-2018
  environment setup for strata conference 2018
  ☆67Updated 7 years ago
• bgweber / DeployKeras
  ☆28Updated 6 years ago
• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 8 years ago
• alexeygrigorev / classifying-crisis-reports-dsc
  The top 10 solution to the "Growing Instability: Classifying Crisis Reports" challenge
  ☆21Updated 7 years ago
• thismlguy / Kaggle
  Containing codes of participation in Kaggle competitions.
  ☆37Updated 9 years ago
• batermj / learning-data-mining-with-r
  Codes for the book, Learning Data Mining with R
  ☆26Updated 7 years ago
• easonchan1213 / LDA_RecEngine
  An implementation of LDA-based Recommender System
  ☆18Updated 9 years ago
• szilard / ml-prod
  Some thoughts on how to use machine learning in production
  ☆72Updated 7 years ago
• wsuen / pygotham2018_graphmining
  Large-scale Graph Mining with Spark
  ☆40Updated 6 years ago