gmr VS orbit

Compare gmr vs orbit and see what are their differences.

gmr

Gaussian Mixture Regression (by AlexanderFabisch)
Machine Learning gaussian-mixture-models Python Regression
Source Code
alexanderfabisch.github.io
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orbit

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood. (by uber)
Python Forecasting Bayesian exponential-smoothing pyro Stan pystan probabilistic-programming probabilistic Forecast Orbit time-series Regression arima changepoint bayesian-methods bayesian-statistics Machine Learning regression-models Pytorch
Source Code
orbit-ml.readthedocs.io
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gmr orbit
1 1
156 1,804
- 1.2%
2.1 7.8
12 months ago 30 days 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.

gmr

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

orbit

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

What are some alternatives?

When comparing gmr and orbit 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

neural_prophet - NeuralProphet: A simple forecasting package

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

pmdarima - A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

Machine-Learning - Implementation of different ML Algorithms from scratch, written in Python 3.x

ruptures - ruptures: change point detection in Python

darts - A python library for user-friendly forecasting and anomaly detection on time series.

pyro - Deep universal probabilistic programming with Python and PyTorch

fracdiff - Compute fractional differentiation super-fast. Processes time-series to be stationary while preserving memory. cf. "Advances in Financial Machine Learning" by M. Prado.

statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.

ETSformer - PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

ebisu - Public-domain Python library for flashcard quiz scheduling using Bayesian statistics. (JavaScript, Java, Dart, and other ports available!)

gmr vs lazypredict orbit vs neural_prophet gmr vs MLBox orbit vs pmdarima gmr vs Machine-Learning orbit vs ruptures orbit vs darts orbit vs pyro orbit vs fracdiff orbit vs statsforecast orbit vs ETSformer orbit vs ebisu