NoCodeSeg
🔬 Code-free deep segmentation for computational pathology (by andreped)
fCWT
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT. (by fastlib)
| NoCodeSeg | fCWT | |
|---|---|---|
| 1 | 1 | |
| 45 | 224 | |
| - | - | |
| 6.2 | 0.0 | |
| 6 months ago | 2 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | 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.
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.
NoCodeSeg
Posts with mentions or reviews of NoCodeSeg.
We have used some of these posts to build our list of alternatives
and similar projects.
fCWT
Posts with mentions or reviews of fCWT.
We have used some of these posts to build our list of alternatives
and similar projects.
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My first published crate!
This crate is a direct translation of fCWT Library written in C++ by Arts, L.P.A. and van den Broek, E.L. (https://github.com/fastlib/fCWT) I changed certain functions that I cannot translate, it seems like it could be eliminated, or the difference between fftw Library and rustfft crate. (fCWT used fftw, and fastcwt used rustfft.)
What are some alternatives?
When comparing NoCodeSeg and fCWT you can also consider the following projects:
medicaldetectiontoolkit - The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
Graph_Signal_Processing - Signal processing on graphs using torch_geometric.
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Hacktoberfest - An Introduction to the world Opensource with STIC
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
audioFlux - A library for audio and music analysis, feature extraction.