WaveDiff VS 3.eeg_recognation

Compare WaveDiff vs 3.eeg_recognation and see what are their differences.

WaveDiff

Official Pytorch Implementation of the paper: Wavelet Diffusion Models are fast and scalable Image Generators (CVPR'23) (by VinAIResearch)
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WaveDiff 3.eeg_recognation
1 2
329 26
5.2% -
5.4 1.8
4 months ago over 2 years ago
Python Python
GNU General Public License v3.0 only GNU General Public License v3.0 only
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.

WaveDiff

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

3.eeg_recognation

Posts with mentions or reviews of 3.eeg_recognation. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing WaveDiff and 3.eeg_recognation you can also consider the following projects:

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

pywt - PyWavelets - Wavelet Transforms in Python

brainflow - BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors

custom-diffusion - Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)

ironbci - Open-Source Brain-Computer Interface, ADS1299 and STM32

ssqueezepy - Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python

EEGwithRaspberryPI - Open-Source board for converting RaspberryPI to Brain-computer interface [Moved to: https://github.com/HackerBCI/EEGwithRaspberryPI]

RePaint - Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022

EEG-with-JetsonNano - Open-Source. With deep learning to neuroscience world with shield for jetson nano - JNEEG (In progress)