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Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
This repository corresponds to a python package, but it has no CI/CD, tests, or automated releases. I would strongly recommend to add these to ensure reliability and compatibility with dependency...
Great package! I was wondering whether you would consider integrating with `sktime` or `pytorch-forecasting`? To me, it seems like most of `tsai` is to `sktime.classification` what `pytorch-forecasting` is to `sktime.forecasting`....
I am getting installation error for pytorch >2.4 and python >= 3.11
When I attempted to use the TSC function,dls = TSDataLoaders.from_dsets(dsets.train, dsets.valid, bs=[64, 128], batch_tfms=[TSStandardize()], num_workers=0) I encountered some errors（RuntimeError: Could not infer dtype of numpy.int16）."This question has troubled me for...
When I attempted to use the TSC function, I encountered some errors. Could you assist me in resolving these issues? dls = TSDataLoaders.from_dsets(dsets.train, dsets.valid, bs=[64, 128], batch_tfms=[TSStandardize()], num_workers=0) Traceback (most...
When installing tsai with the provided pip install tsai[extras] option using Python3.11 numpy 2.0.2 is installed. Downgrading numpy is not possible with 3.11. Unfortunately, this is not compatible with the...
I am learning how to work with arrays that exceed memory capacity and have been following the tutorial notebook: [tutorial_nbs/11_How_to_train_big_arrays_faster_with_tsai.ipynb](https://github.com/timeseriesAI/tsai/blob/main/tutorial_nbs/11_How_to_train_big_arrays_faster_with_tsai.ipynb). To practice, I copied and modified the example code from...
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Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai