PaddleHelix VS dipy

Compare PaddleHelix vs dipy and see what are their differences.

dipy

DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging. (by dipy)
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PaddleHelix dipy
1 3
1,050 746
1.7% 1.3%
8.3 9.8
4 months ago 1 day ago
Python Python
GNU General Public License v3.0 or later 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.

PaddleHelix

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

dipy

Posts with mentions or reviews of dipy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-09.
  • How to find diffusion tensor images?
    1 project | /r/neuro | 5 Oct 2022
    I thought I would get the colorful photos and use this python library (dipy)[https://dipy.org/] to transfer the picture to a matrix. So I now I'm kind confused how I'd get the "numbers"/color in the legend next to the matrix photo I linked. Cause it sounds like the colors have no significance to how many neurons are in that portion rather it sounds like the colors or a way to differentiate on section of the brain from another when just looking at the photos.
  • how to convert dti data to matrix?
    1 project | /r/neuro | 15 Sep 2022
  • Jupyter refuses C++
    2 projects | /r/Jupyter | 9 Feb 2022

What are some alternatives?

When comparing PaddleHelix and dipy you can also consider the following projects:

DeBERTa - The implementation of DeBERTa

MONAILabel - MONAI Label is an intelligent open source image labeling and learning tool.

Unsupervised-Classification - SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

pySBD - 🐍💯pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.

eirli - An Empirical Investigation of Representation Learning for Imitation (EIRLI), NeurIPS'21

Brain-Tumor-Segmentation-And-Classification - Brain Tumor Segmentation And Classification using artificial intelligence

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