magnus-core VS MLBox

Compare magnus-core vs MLBox and see what are their differences.

magnus-core

Core package of magnus (by project-magnus)
Pipeline Dag Data Science Machine Learning
Source Code
project-magnus.github.io
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MLBox

MLBox is a powerful Automated Machine Learning python library. (by AxeldeRomblay)
Machine Learning auto-ml Kaggle Deep Learning stacking Pipeline Optimization preprocessing Encoding Prediction Distributed Xgboost DrIFT Classification Regression Lightgbm Keras automated-machine-learning Automl Data Science
Source Code
mlbox.readthedocs.io
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magnus-core MLBox
3 1
13 1,479
- -
0.0 0.0
over 2 years ago 10 months ago
Python Python
Apache License 2.0 GNU General Public License v3.0 or later
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.

magnus-core

Posts with mentions or reviews of magnus-core. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-25.
  • [P] feedback on new tool
    2 projects | /r/MachineLearning | 25 Jan 2022
    I feel like Magnus Core welcome page is missing something. Maybe a short introduction (2-3 sentences) to summarize the meaning of tools. For example, one can say "Magus is a pipeline management tool for data science"
  • Feedback on new tool
    1 project | /r/datascience | 25 Jan 2022
    The project is available here: https://github.com/project-magnus/magnus-core

MLBox

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

What are some alternatives?

When comparing magnus-core and MLBox you can also consider the following projects:

healthsea - Healthsea is a spaCy pipeline for analyzing user reviews of supplementary products for their effects on health.

lazypredict - Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

AlphaPy - Python AutoML for Trading Systems and Sports Betting

nylon - An intelligent, flexible grammar of machine learning.

draf - Demand Response Analysis Framework (DRAF)

gmr - Gaussian Mixture Regression

ML.NET-Auto-ML-ESRB-Rating-Classification - Classifying Game ESRB Ratings using ML.NET Auto ML

deep-kernel-transfer - Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

Genome - Genome Network Ala Neural Network

magnus-core vs healthsea MLBox vs lazypredict MLBox vs AlphaPy MLBox vs nylon MLBox vs draf MLBox vs gmr MLBox vs ML.NET-Auto-ML-ESRB-Rating-Classification MLBox vs deep-kernel-transfer MLBox vs Genome