https://github.com/crowdsalat/ann-dynamical-systems
https://github.com/crowdsalat/ann-dynamical-systems
colab jupyter-notebook pandas tensorflow virtualenv
Last synced: 3 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/crowdsalat/ann-dynamical-systems
- Owner: CrowdSalat
- License: mit
- Created: 2019-10-02T10:04:20.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2023-02-15T22:53:44.000Z (over 3 years ago)
- Last Synced: 2023-03-04T11:29:22.708Z (over 3 years ago)
- Topics: colab, jupyter-notebook, pandas, tensorflow, virtualenv
- Language: Jupyter Notebook
- Homepage:
- Size: 16.1 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 10
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# ann dynamical systems
For my master thesis i need to approximate the dynamical behaviour of an airplane. The artifical neural networks will be saved here.
I use google colab as my development environment which is a extension on Jupyter Notebooks. But it will also run in a normal jupyter enviroment.
## google colab
[](https://colab.research.google.com/github/CrowdSalat/ann-dynamical-systems/blob/master/explore_xplane_data.ipynb)
## jupyter notebook
### usage
In project folder:
1. activate the enviroment: ``source env/bin/activate``
2. start the jupyter notebook: ``jupyter notebook``
*Further pip statements will be in the jupyter notebooks. Alternativly use ``pip3 install -r requirements.txt``* *. The requirements file was created with: ``pip freeze > requirements.txt``*
### installation
In this installation example jupyter will be installed inside of a virtual enviroment.
So if not installed, install pip3 and virtualenv:
1. ``sudo apt-get install python3-pip``
2. ``sudo pip3 install virtualenv``
*Use sudo before pip or it wont appear on the PATH*
To create virtualenv and install jupyter execute the following commands in the project folder:
1. create virtualenv: ``virtualenv env``
2. activate it with: ``source env/bin/activate``
3. install Jupyter: ``pip3 install jupyter``