Dclassify Alternatives

Optimized Naive Bayesian classifier for NodeJS
Suggest Alternative
Alternatives To 73rhodes/dclassify
Project Name Stars Downloads Repos Using This Packages Using This Most Recent Commit Total Releases Latest Release Open Issues License Language
pymc-devs/pymc 7,996 143 106 about 2 years ago 36 March 15, 2022 271 other Python
Bayesian Modeling and Probabilistic Programming in Python
hildensia/bayesian_changepoint_detection 597 0 2 over 2 years ago 1 August 12, 2019 10 mit Jupyter Notebook
Methods to get the probability of a changepoint in a time series.
easystats/bayestestR 531 11 28 over 2 years ago 24 April 07, 2023 46 gpl-3.0 R
:ghost: Utilities for analyzing Bayesian models and posterior distributions
storopoli/Bayesian-Statistics 310 0 0 about 2 years ago 0 1 cc-by-sa-4.0 Typst
This repository holds slides and code for a full Bayesian statistics graduate course.
73rhodes/dclassify 224 15 2 over 2 years ago 5 October 02, 2015 0 mit JavaScript
Optimized Naive Bayesian classifier for NodeJS
probabilists/lampe 133 0 0 over 1 year ago 23 July 20, 2024 2 mit Python
Likelihood-free AMortized Posterior Estimation with PyTorch
brendanhasz/probflow 108 0 0 almost 5 years ago 12 December 28, 2020 16 mit Python
A Python package for building Bayesian models with TensorFlow or PyTorch
ntoronto/drbayes 76 0 0 almost 10 years ago 0 November 30, 2023 4 lgpl-3.0 Racket
Dr. Bayes
lytics/multibayes 74 1 1 over 7 years ago 1 November 08, 2016 2 Go
Multiclass Naive Bayesian Classification
ronojoy/pylearn 72 0 0 over 10 years ago 0 1 mit Python
Bayesian machine learning in Python
Alternatives To 73rhodes/dclassify
Select To Compare


Alternative Project Comparisons
Popular Bayesian Projects
Popular Probability Projects
Popular Machine Learning Categories
Related Searches
Get A Weekly Email With Trending Projects
No Spam. Unsubscribe easily at any time.
Privacy | About | Terms | Follow Us On Twitter

Downloads, Dependent Repos, Dependent Packages, Total Releases, Latest Releases data powered by Libraries.io.

Copyright 2018-2026 Awesome Open Source.  All rights reserved.