Alternatives and similar repositories for recommender_system

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

• jyu-theartofml / Collaborative_filtering
  Recommendation system for music.
  ☆15Updated 2 years ago
• beckernick / music_recommender
  Music Recommendations with Collaborative Filtering and Cosine Distance
  ☆39Updated 8 years ago
• ArmandDS / jobs_recommendations
  Recommender System Repo
  ☆33Updated 5 years ago
• jeremyjordan / customer-segmentation
  An example of clustering applied to finding customer segments.
  ☆20Updated 7 years ago
• taylorhawks / RNN-music-recommender
  sequential content-based recommendation system
  ☆71Updated 5 years ago
• jalajthanaki / Customer_lifetime_value_analysis
  Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.
  ☆46Updated 7 years ago
• vellab / Insurance-claim-prediction
  A machine learning algorithm written to predict severity of insurance claim
  ☆20Updated 8 years ago
• srp98 / Movie-Recommender-using-RBM
  A Movie Recommender System using Restricted Boltzmann Machine (RBM), approach used is collaborative filtering.
  ☆33Updated 7 years ago
• mihirk11 / Movie-recommendation-system-using-Bayesian-Network
  Movie recommendation system based on movielens dataset. Bayesian approach used to predict likely rating of the movie
  ☆12Updated 8 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
• akshaybhatia10 / Deep-Learning-Mini-Projects
  Repo for Deep Learning Projects in NLP, GANs, Computer Vision
  ☆19Updated 7 years ago
• SimoAntikainen / word2vec-music-recommendation
  Music recommendation through applied word2vec word embeddings
  ☆20Updated 6 years ago
• davidsbatista / machine-learning-notebooks
  Assorted exercises and proof-of-concepts to understand and study machine learning and statistical learning theory
  ☆45Updated 6 years ago
• brian-c-ogorman / ABanditTesting
  No Regrets: A deep dive comparison of bandits and A/B testing
  ☆47Updated 7 years ago
• harshitahluwalia7895 / Loan_Prediction
  ☆21Updated 6 years ago
• wolfecameron / music_recommendation
  contains the notebooks that I created for implementing probabilistic matrix factorization in PyTorch for music recommendation engine.
  ☆17Updated 6 years ago
• amyoshino / Recommendation-System-with-Apriori-and-ECLAT
  Recommendation System to locate products in a fresh market using Apriori and ECLAT association rule algorithms
  ☆30Updated 7 years ago
• opokualbert / Topic-Modeling-with-Non-Negative-Matrix-Factorization-NMF-
  Topic Modeling with Non-Negative Matrix Factorization (NMF)
  ☆12Updated 6 years ago
• edyoda / machine-learning-using-pyspark
  Learn Machine Learning using PySpark from scratch
  ☆19Updated 6 years ago
• bhattbhavesh91 / multicollinearity_detection
  Small example on how you can detect multicollinearity
  ☆13Updated 4 years ago
• lucko515 / dataset-dimensionality-reduction-python
  Here I've demonstrated how and why should we use PCA, KernelPCA, LDA and t-SNE for dimensionality reduction when we work with higher dime…
  ☆19Updated 7 years ago
• caiomiyashiro / RecommenderSystemsNotebooks
  Set of notebooks analysing and discussing the ideas presented at Coursera's Recommender Systems course
  ☆31Updated 4 years ago
• viveksrinivasanss / blogs
  Contains all scripts and data of blog contents
  ☆10Updated 8 years ago
• domkowald / FairRecSys
  Python scripts for studying bias in recommender systems
  ☆19Updated 2 years ago
• skg01 / Competition
  ☆9Updated 5 years ago
• veeralakrishna / Case-Study-ML-Netflix-Movie-Recommendation-System
  A Machine Learning Case Study for Recommendation System of movies based on collaborative filtering and content based filtering.
  ☆27Updated 9 months ago
• prateekjoshi565 / topic_modeling_online_reviews
  ☆33Updated 6 years ago
• dimitreOliveira / StoreItemDemand
  (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.
  ☆25Updated 5 years ago
• LiXiling / ml_insurancePred
  Insurance Claim Prediction using Machine Learning - Udacity Nanodegree Capstone Project
  ☆16Updated 8 years ago
• saranyavsr / Music-Recommendations
  Yahoo Music Recommendation system based on several user ratings for albums and provide song recommendations to the users.
  ☆19Updated 7 years ago