dipy VS pySBD

Compare dipy vs pySBD and see what are their differences.

dipy

DIPY is the paragon 3D/4D+ 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)
diffusion-mri dti tractography tractometry Registration denoising spherical-harmonics dki Tracking contextual-enhancement neuroanatomy Neuroimaging medical-imaging microstructure Machine Learning Python bundles Segmentation patch2self self-supervised-learning
Source Code
dipy.org
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pySBD

🐍💯pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box. (by nipunsadvilkar)
sentence-boundary-detection Python Segmentation rule-based sentence-tokenizer Sentence
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dipy pySBD
3 3
669 733
1.0% -
9.9 0.0
6 days ago 8 months ago
Python Python
GNU General Public License v3.0 or later MIT License
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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

pySBD

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

What are some alternatives?

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

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

pycrown - PyCrown - Fast raster-based individual tree segmentation for LiDAR data

PaddleHelix - Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

Sentence-Adder-Anki-Addon - Add sentences to Anki editor window in one click

xeus-cling - Jupyter kernel for the C++ programming language

caer - High-performance Vision library in Python. Scale your research, not boilerplate.

albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

NIPY - Workflows and interfaces for neuroimaging packages

wtpsplit - Code for Where's the Point? Self-Supervised Multilingual Punctuation-Agnostic Sentence Segmentation

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

razdel - Rule-based token, sentence segmentation for Russian language

dipy vs Brain-Tumor-Segmentation-And-Classification pySBD vs pycrown dipy vs PaddleHelix pySBD vs Sentence-Adder-Anki-Addon dipy vs xeus-cling pySBD vs caer dipy vs albumentations pySBD vs albumentations dipy vs NIPY pySBD vs wtpsplit dipy vs MONAILabel pySBD vs razdel