findpeaks VS Wavelet-Deep-Neural-Network-for-Stripe-Noise-Removal

Compare findpeaks vs Wavelet-Deep-Neural-Network-for-Stripe-Noise-Removal and see what are their differences.

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findpeaks Wavelet-Deep-Neural-Network-for-Stripe-Noise-Removal
1 1
202 42
- -
7.9 0.0
11 days ago almost 2 years ago
Python Python
GNU General Public License v3.0 or later Apache License 2.0
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.

findpeaks

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

Wavelet-Deep-Neural-Network-for-Stripe-Noise-Removal

Posts with mentions or reviews of Wavelet-Deep-Neural-Network-for-Stripe-Noise-Removal. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing findpeaks and Wavelet-Deep-Neural-Network-for-Stripe-Noise-Removal you can also consider the following projects:

giotto-tda - A high-performance topological machine learning toolbox in Python

Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials - A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

mhk_mods - Outdated, please see https://github.com/SKevo18/mh_mods for new version

TARDIS - TARDIS: Topological Algorithms for Robust DIscovery of Singularities

mmocr - OpenMMLab Text Detection, Recognition and Understanding Toolbox