The Anomalous Diffusion Challenge package
Project description
The Anomalous Diffusion (AnDi) Challenge Package
This package contains the necessary functions to generate datasets of trajectories for the Anomalous Diffusion (AnDi) Challenge.
Getting started
- Install the package using:
pip install andi-datasets
- Import the package in a Python3 environment using:
import andi
Available tools
There are two main classes in the ANDI package:
-
andi_datasets
: creates and manages trajectory datasets. -
diffusion_models
: contains various diffusion models from which create trajectories for various parameters in one, two and three dimensions.
For more details, please visit the hosting repository where you can find an example of use.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
andi-datasets-0.0.5.tar.gz
(14.1 kB
view hashes)
Built Distribution
Close
Hashes for andi_datasets-0.0.5-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 82488be53cf6c896ce12767b850683f6b4125b2d349f02d5aa98b1d671d0c2d8 |
|
MD5 | 7589e3b76e82a4e662b40f79cae40b93 |
|
BLAKE2b-256 | df712ac0a48ad587c83cff58bf934bef34ddb4dd7a35bde23d446449dbe6bb44 |