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Hi :wave:
I am currently trying to use weights from a model in dynet:
dynet model:
```
dy_model = dy.BiRNNBuilder(layers, dim_input, dim_hidden, model, dy.LSTMBuilder)
```
Keras model:
`…
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Currently tflearn doesn't use `tensorflow tf.nn.dynamic_rnn` and `tf.nn.bidirectional_dynamic_rnn` for sequences with dynamic lengths.
Although there is a support for dynamic lengths by using `dyna…
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**Describe the bug**
Hello, I can convert one-layer LSTM and multilayer LSTMs to tensorflow. However, the results between onnx and onnx-tf are not equal when using multi-layer LSTM, while the results…
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**Is your feature request related to a problem? Please describe.**
In this repository, gold price prediction model is there but it is using simple machine learning methods. That is why I would like t…
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### 🐛 Describe the bug
`torch.compile(...)` does not pass models containing RNN layers to custom compilers, see this example:
```python
import torch
class Model1(torch.nn.Module):
def…
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Just create this dataset:
```python
import numpy as np
import pandas as pd
multi_target_test_data = pd.DataFrame(
dict(
target1=np.random.rand(30),
target2=np.random.ran…
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### Feature description
Add LSTM Algorithm to Neural Network Algorithms
**Feature Description:**
I would like to propose adding an LSTM (Long Short-Term Memory) algorithm to the existing neural…
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I read your article on medium
https://medium.com/swlh/a-technical-guide-on-rnn-lstm-gru-for-stock-price-prediction-bce2f7f30346
Modified part of the code to accept volume
```
def ts_train_te…
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### Describe the issue
I now want multiple threads to load the same model and perform inference in a data-parallel manner. To reduce memory usage, I want to avoid having each session individually rea…
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When running in colab (using GPU) I got the following error in cell:
```
rnn_3layer = nn.Sequential( #Simple old style RNN
EmbeddingPackable(nn.Embedding(len(all_letters), 64)), #(B, T) -> (B, T…