dpmmpython
Python wrapper for the DPMMSubCluster Julia package for inference in Dirichlet Process Mixture Models (High Performance Machine Learning Workshop 2019) (by BGU-CS-VIL)
pdc-dp-means
"Revisiting DP-Means: Fast Scalable Algorithms via Parallelism and Delayed Cluster Creation" [Dinari and Freifeld, UAI 2022] (by BGU-CS-VIL)
| dpmmpython | pdc-dp-means | |
|---|---|---|
| 2 | 2 | |
| 17 | 16 | |
| - | - | |
| 0.0 | 8.1 | |
| over 1 year ago | 3 months ago | |
| Python | Python | |
| GNU General Public License v3.0 only | BSD 3-clause "New" or "Revised" 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.
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.
dpmmpython
Posts with mentions or reviews of dpmmpython.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-14.
-
[P] Looking for state of the art clustering algorithms
Distributed MCMC inference in Dirichlet process mixture models using Julia.Scalable and
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[R] Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data
Python - https://github.com/BGU-CS-VIL/dpmmpython
pdc-dp-means
Posts with mentions or reviews of pdc-dp-means.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-14.
-
[P] Looking for state of the art clustering algorithms
Revisiting DP-Means: Fast Scalable Algorithms via Parallelism and Delayed Cluster Creation.
What are some alternatives?
When comparing dpmmpython and pdc-dp-means you can also consider the following projects:
dpmmpythonStreaming - Python wrapper for the DPMMSubClusterStreaming.jl Julia package.
cuml - cuML - RAPIDS Machine Learning Library
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
cudf - cuDF - GPU DataFrame Library
DeepDPM - "DeepDPM: Deep Clustering With An Unknown Number of Clusters" [Ronen, Finder, and Freifeld, CVPR 2022]