Surprise
Recommender library
A Python scikit for building and analyzing recommender systems using explicit rating data
A Python scikit for building and analyzing recommender systems
6k stars
145 watching
1k forks
Language: Python
last commit: 7 months ago
Linked from 4 awesome lists
factorizationmachine-learningmatrixrecommendationrecommendersvdsystems
Related projects:
Repository | Description | Stars |
---|---|---|
recommenders-team/recommenders | Provides best practices and examples for building recommendation systems using machine learning algorithms | 19,418 |
clips/pattern | A comprehensive Python module for web mining and analysis of text data. | 8,758 |
justmarkham/scikit-learn-videos | A tutorial series on machine learning with Python using scikit-learn | 3,680 |
trekhleb/homemade-machine-learning | Practices implementing popular machine learning algorithms from scratch to gain a deeper understanding of their mathematics | 23,191 |
teamhg-memex/eli5 | A Python library for explaining and inspecting machine learning model predictions | 2,763 |
lartpang/pysodevaltoolkit | A comprehensive Python toolbox for evaluating salient object detection and camouflaged object detection tasks | 168 |
online-ml/river | A Python library for online machine learning that provides an incremental learning framework for various algorithms and models | 5,121 |
jwarmenhoven/islr-python | An implementation of selected chapters from the book on Machine Learning with Python code | 4,263 |
practical-recommender-systems/moviegeek | A Django-based website demonstrating how to implement recommender algorithms with a dataset from themoviedb.org API. | 909 |
hypothesisworks/hypothesis | Automates testing of software properties using generated examples | 7,627 |
evidentlyai/evidently | An observability framework for evaluating and monitoring the performance of machine learning models and data pipelines | 5,519 |
seldonio/alibi | A Python library for explaining machine learning models | 2,421 |
maximtrp/scikit-posthocs | Provides tools for conducting pairwise multiple comparisons tests in statistical data analysis | 354 |
muricoca/crab | Provides a flexible and fast recommender engine for Python built on top of classic information filtering algorithms | 1,178 |
jvalegre/robert | Automated machine learning protocols for cheminformatics using Python | 39 |