Machine-Learning VS Gumbi

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

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Machine-Learning Gumbi
1 1
406 48
- -
0.0 5.2
3 months ago 6 months 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.

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.

Gumbi

Posts with mentions or reviews of Gumbi. 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 Gumbi you can also consider the following projects:

dzetsaka - dzetsaka : classification plugin for Qgis

mozregression - Regression range finder for Mozilla nightly builds

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

Stheno.jl - Probabilistic Programming with Gaussian processes in Julia

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

gmr - Gaussian Mixture Regression

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