Alternatives and similar repositories for Big-Data-Recommender-Systems

Users that are interested in Big-Data-Recommender-Systems are comparing it to the libraries listed below

• aimlnerd / Deploy-machine-learning-model
  Dockerize and deploy machine learning model as REST API using Flask
  ☆78Updated 2 years ago
• PacktPublishing / Building-Recommendation-Systems-with-Python
  Building Recommendation Systems with Python [Video], by Packt Publishing
  ☆90Updated 2 years ago
• AlexWarembourg / Medium
  Repository for medium article
  ☆21Updated last year
• PacktPublishing / Hands-On-Recommendation-Systems-with-Python
  Hands-On Recommendation Systems with Python published by Packt
  ☆264Updated 2 years ago
• susanli2016 / TensorFlow-2.0-Keras
  TensorFlow 2.0 + Keras guide by François Chollet for deep learning researchers.
  ☆15Updated 5 years ago
• FavioVazquez / deep-learning-pyspark
  Deep Learning with Apache Spark and Deep Cognition
  ☆59Updated 7 years ago
• dipanjanS / transformers_nlp_essentials
  Contains slides and hands-on tutorials for understanding and implementing Transformers in Natural Language Processing. Uses the HuggingFa…
  ☆27Updated 5 years ago
• dipanjanS / data_science_for_all
  Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone
  ☆211Updated 5 years ago
• susanli2016 / Hands-On-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow-2nd-Edition
  Book Projects
  ☆24Updated 4 years ago
• yug95 / MachineLearning
  Machine learning for beginner(Data Science enthusiast)
  ☆125Updated 5 months ago
• omarsar / pytorch_notebooks
  A collection of PyTorch notebooks for learning and practicing deep learning
  ☆140Updated 5 years ago
• Sangarshanan / time-series-forecasting
  Understanding time series forecasting
  ☆65Updated 4 years ago
• prateekjoshi565 / recommendation_system
  ☆63Updated 3 years ago
• ashishrana160796 / online-course-recommendation-system
  Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.
  ☆47Updated 6 years ago
• andfanilo / pyspark-tutorial
  Jupyter notebooks for pyspark tutorials given at University
  ☆110Updated 2 months ago
• ArmandDS / jobs_recommendations
  Recommender System Repo
  ☆33Updated 6 years ago
• snowch / movie-recommender-demo
  This project walks through how you can create recommendations using Apache Spark machine learning. There are a number of jupyter notebook…
  ☆99Updated 2 years ago
• u128str / Netflix-Movie-Recommendation-System
  A Machine Learning Case Study for Recommendation System of movies based on collaborative filtering and content based filtering.
  ☆39Updated 6 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.
  ☆28Updated last year
• srivatsan88 / model-deployment
  This playlist covers model deployment covered as part of course in YouTube - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5PlN1jwOB3…
  ☆100Updated 4 years ago
• nikitaa30 / Content-based-Recommender-System
  It is a content based recommender system that uses tf-idf and cosine similarity for N Most SImilar Items from a dataset
  ☆71Updated 4 years ago
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆53Updated 5 years ago
• PacktPublishing / Building-Recommender-Systems-with-Machine-Learning-and-AI
  Building Recommender Systems with Machine Learning and AI, published by Packt
  ☆110Updated 2 weeks ago
• bhattbhavesh91 / GA_Sessions
  A Placeholder of all the scripts & notebooks which I'll be using for GA Sessions
  ☆29Updated 5 years ago
• MLWhiz / data_science_blogs
  A repository to keep track of all the code that I end up writing for my blog posts.
  ☆249Updated 2 years ago
• edyoda / pyspark-tutorial
  PySpark Code for Hands-on Learners
  ☆116Updated 5 years ago
• i-zaitsev / pytorch_playground
  PyTorch experiments, demos and tutorials
  ☆61Updated 2 years ago
• mohanakrishnavh / PySpark-Tutorial
  ☆18Updated 7 years ago
• dipanjanS / tensorflow2-crash-course
  A quick crash course in understanding the essentials of TensorFlow 2 and the integrated Keras API
  ☆227Updated 4 years ago
• aissam-out / ML-in-production
  Pipeline for ML/DL solutions: Build the model, create an API to interact with it, containerize it and deploy it
  ☆17Updated 4 years ago