Point-Processes
This repository contains the material (datasets, code, videos, spreadsheets) related to my book Stochastic Processes and Simulations - A Machine Learning Perspective. (by VincentGranville)
DeepDPM
"DeepDPM: Deep Clustering With An Unknown Number of Clusters" [Ronen, Finder, and Freifeld, CVPR 2022] (by BGU-CS-VIL)
| Point-Processes | DeepDPM | |
|---|---|---|
| 2 | 5 | |
| 37 | 735 | |
| - | -0.1% | |
| 0.0 | 1.2 | |
| over 1 year ago | about 1 year ago | |
| Python | Python | |
| - | 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.
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.
Point-Processes
Posts with mentions or reviews of Point-Processes.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-03.
-
[R] DeepDPM: Deep Clustering With an Unknown Number of Clusters
https://github.com/VincentGranville/Point-Processes/commit/2c2ed7cc989711d0a40d96fb6f194c690fcded8f (left is original data)
-
What is the hardest thing to learn in statistics?
As for confidence regions, you show them the a plot like this one. Each contour line defines a confidence region of a certain level (that can be determined accurately). This stuff is familiar to hikers using a map to navigate the terrain. No math involved in the whole teaching experience, other than stuff from elementary school.
DeepDPM
Posts with mentions or reviews of DeepDPM.
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
- [P] DeepDPM implementation in colab
-
University of Negev Researchers Develop DeepDPM: A Deep Clustering Algorithm With An Unknown Number Of Clusters
Continue Reading | Check out the paper and codes
-
[R] DeepDPM: Deep Clustering With an Unknown Number of Clusters
Code for https://arxiv.org/abs/2203.14309 found: https://github.com/BGU-CS-VIL/DeepDPM
What are some alternatives?
When comparing Point-Processes and DeepDPM you can also consider the following projects:
dpmmpythonStreaming - Python wrapper for the DPMMSubClusterStreaming.jl Julia package.
GPflow - Gaussian processes in TensorFlow
cudf - cuDF - GPU DataFrame Library
Stochastic-Processes - My book: Gentle Introduction to Chaotic Dynamical Systems. Includes stochastic dynamical systems and statistical properties of numeration systems in any dimension.
pdc-dp-means - "Revisiting DP-Means: Fast Scalable Algorithms via Parallelism and Delayed Cluster Creation" [Dinari and Freifeld, UAI 2022]