FastMF_public 
FastMF is a Python library designed to perform dictionary matching on diffusion MRI data to a precomputed dictionary of microstructural features, leveraging deep learning for enhanced accuracy and efficiency.
Installation
Prerequisites
FastMF requires Python v3.8+.
Installation Steps
To get started with FastMF, follow these simple steps to clone the repository and set up the necessary environment:
git clone https://github.com/Hyedryn/FastMF_public.git
cd FastMF_public
python -m pip install .
Usage
To familiarize yourself with its functionality, we recommend exploring the various examples provided in the ``examples`` folder.
1 maintainer
Metadata
1 maintainer
Release files for FastMF 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fastmf-0.1.0.tar.gz | 73.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fastmf-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 160.4 kB
Release files / fastmf-0.1.0.tar.gz
| Download URL | fastmf-0.1.0.tar.gz |
|---|---|
| Size | 73.5 kB |
| Tags | Source |
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No |
| Uploaded via |
twine/4.0.2 CPython/3.9.18
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Release files / fastmf-0.1.0-py3-none-any.whl
| Download URL | fastmf-0.1.0-py3-none-any.whl |
|---|---|
| Size | 86.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.18
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