gmr vs Machine-Learning

gmr

Gaussian Mixture Regression (by AlexanderFabisch)

Source Code

alexanderfabisch.github.io

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Machine-Learning

Implementation of different ML Algorithms from scratch, written in Python 3.x (by Gautam-J)

AI Artificial intelligence Machine Learning machine-learning-algorithms Sklearn Classification Regression Python

Source Code

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gmr		Machine-Learning
	Project
1	Mentions	1
156	Stars	406
-	Growth	-
2.1	Activity	0.0
12 months ago	Latest Commit	3 months ago
Python	Language	Python
BSD 3-clause "New" or "Revised" License	License	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.

gmr

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

Conducting Regression on a Multimodal Distributed Dependent Variable
1 project | /r/datascience | 19 Apr 2022

I have attempted Gaussian Mixtures and also tried this the following library which was promising (https://github.com/AlexanderFabisch/gmr). The challenge was interpreting results given the clusters.

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.

Visualization of ML Algorithms
1 project | /r/Python | 2 May 2021

Link to GitHub: here

What are some alternatives?

When comparing gmr and Machine-Learning 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

dzetsaka - dzetsaka : classification plugin for Qgis

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

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