ssqueezepy VS pytorch_wavelets

Compare ssqueezepy vs pytorch_wavelets and see what are their differences.

pytorch_wavelets

Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet (by fbcotter)
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ssqueezepy pytorch_wavelets
3 1
675 1,007
1.2% 4.6%
3.6 0.0
8 days ago over 1 year ago
Python Python
MIT License 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.

ssqueezepy

Posts with mentions or reviews of ssqueezepy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-05.

pytorch_wavelets

Posts with mentions or reviews of pytorch_wavelets. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-01.

What are some alternatives?

When comparing ssqueezepy and pytorch_wavelets you can also consider the following projects:

madmom - Python audio and music signal processing library

pywt - PyWavelets - Wavelet Transforms in Python

cog - Containers for machine learning

ruptures - ruptures: change point detection in Python

WaveDiff - Official Pytorch Implementation of the paper: Wavelet Diffusion Models are fast and scalable Image Generators (CVPR'23)

audio-reactive-led-strip - :musical_note: :rainbow: Real-time LED strip music visualization using Python and the ESP8266 or Raspberry Pi

mish-cuda - Mish Activation Function for PyTorch

kymatio - Wavelet scattering transforms in Python with GPU acceleration

mish-cuda - Mish Activation Function for PyTorch

Visual-Mic - When sound hits an object, it causes small vibrations on the object’s surface. Here we show how, using only high-speed video of the object, we can extract those minute vibrations and partially recover the sound that produced them, allowing us to turn everyday objects—a glass of water, a potted plant, a box of tissues, or a bag of chips—into visual microphones.

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Did you know that Python is
the 2nd most popular programming language
based on number of references?