ssqueezepy VS kymatio

Compare ssqueezepy vs kymatio and see what are their differences.

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ssqueezepy kymatio
3 1
672 776
1.2% 0.5%
3.6 4.1
7 days ago 12 days ago
Python Python
MIT License BSD 3-clause "New" or "Revised" 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.

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.

kymatio

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

What are some alternatives?

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

madmom - Python audio and music signal processing library

einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

pywt - PyWavelets - Wavelet Transforms in Python

ruptures - ruptures: change point detection in Python

data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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

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.

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

best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

pytorch_wavelets - Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet

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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based on number of references?