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## Description
Add Temporal Fusion Transformer (TFT)
## References
- https://arxiv.org/pdf/1912.09363.pdf
- https://github.com/jdb78/pytorch-forecasting
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Hi!
In the data preparation script for the Temporal Fusion Transformer Network ```qlib_Alpha158.py``` there is a selection of 20 features available from Alpha158 dataset, e.g. WVMA5, CORR5 etc. Is …
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- PyTorch-Forecasting version: 0.6.0
- PyTorch version: 1.6
- Python version: 3.6
- Operating System: Linux
I made a model to predict some stock market features but the results seem to be very w…
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Hi, can I use a loss different from Quantile with TFT? Because with any other loss it gives me an assertion error about shape of predictions.
Thanks, Lorenzo
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- PyTorch-Forecasting version: 0.6.1
- PyTorch version: 1.7.0
- Python version: 3.7.9
- Operating System: Ubuntu 16.04.5
Hello, I'm trying to follow the tutorial but with my own data. The datase…
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### **Abstract**
  本文基于Transformer提出了新的视频实例分割框架VisTR，将视频实力分割任务看成是直接端到端并行序列预测/解码问题。给定视频片段，直接输出每个实例的按顺序的mask序列。不同于现有方法，VisTR从同一角度出发处理实例分割与跟踪问题，利用相似度学习进行分析，实现了又快又准的视频实例分割
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- PyTorch-Forecasting version: v0.8.0
- PyTorch version: 1.7.1
- Python version: 3.8.3
- Operating System: Ubuntu 18.04
### Expected behavior
I am trying to get started with multi-target fore…
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- PyTorch-Forecasting version: 0.6.0
- PyTorch version: 1.4.0
- PyTorch-Lightning version: 1.0.6
- Python version: 3.6.6
- Operating System: Linux
### Expected behavior
I executed notebook i…
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Hi,
I have a question on the TimeSeriesDataSet class. In my case, I have a time series sequence with a sampling frequency of 15 minutes, and one target variable. Unfortunately, the sequence is exten…
ghost updated
3 years ago
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- PyTorch-Forecasting version: 0.8.3
- PyTorch version: 1.7
- Python version: 3.7
- Operating System:ubuntu
### Expected behavior
encoded my target as int and use cross entropy as mentioned h…