Neuroml2020
Machine Learning in Neuroimaging data, Fall 2020.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Ecobidas | 35 | 4 months ago | 40 | gpl-3.0 | Jupyter Notebook | |||||
| Working repository to turn the COBIDAS guidelines to report methods and results in neuroimaging into a user friendly checklist | ||||||||||
| Braph 2 | 24 | 3 months ago | 39 | other | MATLAB | |||||
| BRAPH 2.0 is a comprehensive software package for the analysis and visualization of brain connectivity data, offering flexible customization, rich visualization capabilities, and a platform for collaboration in neuroscience research. | ||||||||||
| Neuroml2020 | 20 | 2 years ago | Jupyter Notebook | |||||||
| Machine Learning in Neuroimaging data, Fall 2020. | ||||||||||
| Juspyce | 9 | 7 months ago | other | Jupyter Notebook | ||||||
| JuSpyce - a toolbox for flexible assessment of spatial associations between brain maps | ||||||||||
| Bpt | 9 | a year ago | 21 | May 20, 2022 | mit | Python | ||||
| The Brain Predictability toolbox (BPt), is a python based Machine Learning library designed primarily for tabular and neuroimaging specific neuroimaging data but can easily be generalized further. | ||||||||||
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Jupyter Notebook
Machine Learning
Course
Data Analysis
Eeg
Neuroimaging