MLBox VS Genome

Compare MLBox vs Genome and see what are their differences.

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MLBox Genome
1 1
1,475 3
- -
0.0 2.7
9 months ago almost 3 years ago
Python Python
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.

MLBox

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

Genome

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

What are some alternatives?

When comparing MLBox and Genome you can also consider the following projects:

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

bioinformatics - Bioinformatic algorithms for the UCLA Bioinformatics Specialization

AlphaPy - Python AutoML for Trading Systems and Sports Betting

nylon - An intelligent, flexible grammar of machine learning.

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

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