movie-recommender VS mars

Compare movie-recommender vs mars and see what are their differences.


Movie recommender system based on Non-Negative Matrix Factorization and Singular Value Decomposition, with a Flask web interface (by lorenanda)


Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions. (by mars-project)
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movie-recommender mars
1 0
4 2,517
- 0.4%
5.2 9.3
almost 2 years ago 7 days ago
Python Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.


Posts with mentions or reviews of movie-recommender. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-06.


Posts with mentions or reviews of mars. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning mars yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing movie-recommender and mars you can also consider the following projects:

modin - Modin: Scale your Pandas workflows by changing a single line of code

xarray - N-D labeled arrays and datasets in Python

eland - Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

alpha-zero-boosted - A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)

Python-Schema-Matching - A python tool using XGboost and sentence-transformers to perform schema matching task on tables.

recommendation-algorithm - Collaborative filtering recommendation system. Recommendation algorithm using collaborative filtering. Topics: Ranking algorithm, euclidean distance algorithm, slope one algorithm, filtragem colaborativa.

implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets

xgboost_ray - Distributed XGBoost on Ray

dmatrix2np - Convert XGBoost's DMatrix format to np.array

jetson-containers - Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

scikit-survival - Survival analysis built on top of scikit-learn

Sketch-Generation-with-Drawing-Process-Guided-by-Vector-Flow-and-Grayscale - This is the official implementation of the AAAI 2021 accepted paper "Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale"