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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
I have a dataset where my labels are a list of the classes that are relevant for each sample. Example: y[0] = [1, 5, 8] if that sample has labels...
Hi and thanks for the great library! I have some issues with multi-label classification. I used it with my dataset and the training was successful. But I got an error...
Hi, I am recently obsessed with `tsai`, and try using it for many many days, around like two weeks. However, it is difficult for me to custom my training procedure...
Hi @oguiza, I get an error when I try to use the XceptionTImePlus for multi-step forecasting. I tried a simple code as well and it still gives me the same...
from tsai.models.InceptionTimePlus import InceptionTimePlus import numpy as np from tsai.data.external import get_UCR_data, check_data from tsai.data.preprocessing import TSStandardize, TSNan2Value from tsai.data.core import TSCategorize, get_ts_dls from tsai.learner import ts_learner from tsai.models.InceptionTimePlus import...
Hi @oguiza : Hello, I would like to know if there is a way to achieve decay of the learning rate during the training of the network in tsai
After training when trying to pass a list as features names listify changes the len of feature_names to 1 causes bogus assertion error. Bug is at analysis.py line 187 (latest...
I wonder if you are interested in this newest time series auto-regression model? For recently I reproduce autoformer for some reason and I have an idea to contribute my code...
It would be great to see this model implemented in this library, even though I understand that the model has a very specific architecture and might be technically hard to...
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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