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What is MatcherNet?
What is MatcherNet?
MatcherNet is a probabilistic state-space model for dynamic system identification and control. With MatcherNet, you can easily design a dynamic world model of high-dimensional / multi-modal / multi-scale states and observations for robotics, image processing, sensor networks, and their hybrid cases. MatcherNet may provide you a solution better than a large state space model, a deep neural network of end-to-end structure, etc.
MatcherNet was developped with support by the New Energy and Industrial Technology Development Organization (NEDO), Japan, and by Post-K application development for exploratory challenges from the MEXT, Japan.
See an overview for knowing what is MatcherNet in a little bit more detail.
See the matchernet documentation for important classes and functions.
See a developers' info. for knowing some additional info. for installation.
How to install?
The beta version has been released below: https://pypi.org/project/matchernet/
You can install the beta version with the following command:
pip install matchernet
How to try demos?
See demo files under the
See also jupyter notebooks under the
How to set up in detail?
Install Python 3.7.*
It is tested on 3.7.2 and 3.7.3. 3.8.* is not supported yet.
Set up virtual environment
mkdir ~/virt_env cd ~/virt_env virtualenv -p Python3 mn workon mn
pip3 install -r requirements.txt
You need this if you are to modify files in the matchernet original packages.
Run a demo
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