Machine-Learning VS gmr

Compare Machine-Learning vs gmr and see what are their differences.

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Machine-Learning gmr
1 1
406 156
- -
0.0 2.1
3 months ago 12 months ago
Python Python
MIT License BSD 3-clause "New" or "Revised" 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.

Machine-Learning

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

gmr

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

What are some alternatives?

When comparing Machine-Learning and gmr you can also consider the following projects:

dzetsaka - dzetsaka : classification plugin for Qgis

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

sklearn-project-template - Machine learning template for projects based on sklearn library.

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

autoscraper - A Smart, Automatic, Fast and Lightweight Web Scraper for Python

Gumbi - Gaussian Process Model Building Interface

crispy - Crispy is a machine-learning algorithm to make video-games montages efficiently. It uses a neural network to detect highlights in the video-game frames

nyc_traffic_flask - Flask App with leaflet.js that can perform NYC Traffic Prediction