Practical Deep Learning for Time Series / Sequential Data library based on fastai v2/ Pytorch
Project description
tsai
Practical Deep Learning for Time Series / Sequential Data library based on fastai v2/ Pytorch.
tsai
is a deep learning library built on top of fastai v2 / Pytorch focused on state-of-the-art methods for time series classification and regression.
Install
You can install the latest stable version from pip:
pip install tsa
Or you can install the bleeding edge version of this library from github by doing:
pip install git+https://github.com/timeseriesAI/timeseriesAI.git@master
In the latter case, you may also want to use install the bleeding egde fastai & fastcore libraries, in which case you need to do this:
pip install git+https://github.com/fastai/fastcore.git@master
pip install git+https://github.com/fastai/fastai2.git@master
How to use
The only thing you need to do after you have installed the library is to add this to your notebook:
from tsai.all import *
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