Alternatives and similar repositories for fullstack_recsys

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

• hojinYang / tfrs-movierec-serving
  Packaged movie recommenders as REST API using tensorflow-recommenders
  ☆22Updated 5 years ago
• topspinj / recommender-tutorial
  An introduction to recommendation systems in Python
  ☆201Updated 5 years ago
• PacktPublishing / Building-Recommender-Systems-with-Machine-Learning-and-AI
  Building Recommender Systems with Machine Learning and AI, published by Packt
  ☆111Updated last month
• raghavbali / building_robust_recsys_dhs23
  Talk: Building Robust and Scalable Recommendation Systems for Online Food Delivery
  ☆12Updated 2 years ago
• eugeneyan / recsys-nlp-graph
  🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline.
  ☆146Updated last year
• fickaz / TFRS-on-Retail-Data
  Tensorflow Recommenders with Example on Retail Data
  ☆20Updated 4 years ago
• xei / recommender-system-tutorial
  A step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras.
  ☆207Updated 10 months ago
• DeveloperManisha / Airbnb-Recommendation-System
  ☆13Updated 7 years ago
• ArmandDS / jobs_recommendations
  Recommender System Repo
  ☆33Updated 6 years ago
• NVIDIA-Merlin / publications
  ☆64Updated 7 months ago
• PreferredAI / tutorials
  A tutorial series by Preferred.AI
  ☆178Updated 9 months ago
• PacktPublishing / Hands-On-Recommendation-Systems-with-Python
  Hands-On Recommendation Systems with Python published by Packt
  ☆272Updated 2 years ago
• jtwool / mastering-large-datasets
  Repository for Mastering Large Datasets with Python
  ☆69Updated 3 years ago
• jalajthanaki / Job_recommendation_engine
  This repository contains code how to build job recommendation engine using Kaggle 'Job Recommendation Challenge' dataset
  ☆64Updated 7 years ago
• pierpaolo28 / Kaggle-Challenges
  Selection of some interesting Kaggle Kernels
  ☆51Updated 5 years ago
• NVIDIA-Merlin / competitions
  Solutions to Recommender Systems competitions
  ☆200Updated 3 years ago
• CVxTz / recommender_transformer
  ☆82Updated 4 years ago
• PacktPublishing / Building-Recommendation-Systems-with-Python
  Building Recommendation Systems with Python [Video], by Packt Publishing
  ☆91Updated 3 years ago
• thushv89 / manning_tf2_in_action
  The official code repository for "TensorFlow in Action" by Manning.
  ☆92Updated 2 years ago
• khanhnamle1994 / MetaRec
  PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
  ☆310Updated 3 years ago
• KevinLiao159 / MyDataSciencePortfolio
  Applying Data Science and Machine Learning to Solve Real World Business Problems
  ☆404Updated 5 years ago
• deep-diver / ml-deployment-k8s-tfserving
  This project shows how to serve an TF based image classification model as a web service with TFServing, Docker, and Kubernetes(GKE).
  ☆125Updated 3 years ago
• caiomiyashiro / RecommenderSystemsNotebooks
  Set of notebooks analysing and discussing the ideas presented at Coursera's Recommender Systems course
  ☆31Updated 4 years ago
• vrjkmr / arxiv-topic
  Detecting topic clusters in arXiv ML papers.
  ☆14Updated 5 years ago
• PacktPublishing / Production-Ready-Applied-Deep-Learning
  Production-Ready Applied Deep Learning
  ☆91Updated last month
• 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.
  ☆48Updated 6 years ago
• ashishpatel26 / Awesome-MLOps-Course-Outline
  Awesome MLOps Course Outline
  ☆36Updated 3 years ago
• jalajthanaki / Movie_recommendation_engine
  This repository contains the code for building movie recommendation engine.
  ☆79Updated 7 years ago
• snehankekre / Deploy-Deep-Learning-Models-TF-Serving-Docker
  Official repository of "TensorFlow Serving with Docker for Model Deployment" Coursera Project
  ☆23Updated 5 years ago
• GokuMohandas / feature-store
  Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.
  ☆57Updated 3 years ago