Genome VS lazypredict

Compare Genome vs lazypredict and see what are their differences.

lazypredict

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning (by shankarpandala)
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Genome lazypredict
1 3
3 2,729
- -
2.7 0.0
about 3 years ago 24 days ago
Python Python
- MIT License
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.

Genome

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

lazypredict

Posts with mentions or reviews of lazypredict. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-27.

What are some alternatives?

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

bioinformatics - Bioinformatic algorithms for the UCLA Bioinformatics Specialization

orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis

MLBox - MLBox is a powerful Automated Machine Learning python library.

AlphaPy - Python AutoML for Trading Systems and Sports Betting

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

gmr - Gaussian Mixture Regression

LightAutoML - LAMA - automatic model creation framework

lazytext - LazyText is inspired by the idea of lazypredict, a library which helps build lot of basic models without much code. LazyText is for text what lazypredict is for numeric data.