gmr
Gaussian Mixture Regression (by AlexanderFabisch)
MLBox
MLBox is a powerful Automated Machine Learning python library. (by AxeldeRomblay)
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| gmr | MLBox | |
|---|---|---|
| 1 | 1 | |
| 156 | 1,475 | |
| - | - | |
| 2.1 | 0.0 | |
| 12 months ago | 9 months ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | 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.
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
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.
MLBox
Posts with mentions or reviews of MLBox.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing gmr and MLBox 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
Machine-Learning - Implementation of different ML Algorithms from scratch, written in Python 3.x
AlphaPy - Python AutoML for Trading Systems and Sports Betting
nylon - An intelligent, flexible grammar of machine learning.
draf - Demand Response Analysis Framework (DRAF)
ML.NET-Auto-ML-ESRB-Rating-Classification - Classifying Game ESRB Ratings using ML.NET Auto ML
deep-kernel-transfer - Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
Genome - Genome Network Ala Neural Network