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Hello,
Currently, COCA accepts datasets that are univariate. Is it possible to expand to multivariate?
Thanks,
Marcia
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马博士您好，
我在github下载的att和lstm的md5值分别是：
40924149a8a9d929680ebaf6c6e486cb att.h5
681ffdfdcdab0c806b20fcd9277841de lstm.h5
但是ReadME中说att和lstm的md5值应该是：
att.h5 for Attention model, md5: af736531da1dcc5…
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Test code
```
from lstm_word_segmentation.word_segmenter import pick_lstm_model
word_segmenter = pick_lstm_model(model_name="Thai_codepoints_exclusive_model4_heavy",
…
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Hi there,
I'm getting some problems when I try to run the code. I changed the data set to a same type of the original input but I can't pass this far...
Some one could help me?
# RNN layer
…
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### 🐛 Describe the bug
import torch.nn as nn
import torch as th
# If using CPU as the device, the following codes run perfectly
rnn = nn.LSTM(10, 20, 2).to(device="cpu", dtype=th.bfloat16)
inpu…
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python scripts/main.py --cuda 0 --learning_rate 0.0001 --batch_size 16 --epoch 100 --early_stopping 30
Traceback (most recent call last):
File "scripts/main.py…
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Hi Developers, hi all!
I'm making some experiments with LSTM networks using Keras, TensorFlow (specifically, tf-nightly 2.11.0-dev20220911), and TensorFlowLite. On the model authoring side, I'm abl…
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**High Prio**
* NBEATSX support #471
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Click to expand!
### Issue Type
Feature Request
### Source
binary
### Tensorflow Version
2.8
### Custom Code
Yes
### OS Platform and Distribution
mac
### Mobile device
_No response_
##…
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Hey! I trained yolo3 with lstm and spp layers. How can you optimize the code so that your configurator can read custom route85, output and bottleneck layers? If I delete these functions, then the froz…