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mldl@mldlUB1604:~/ub16_prj/Neural_Speed_Reading_via_Skim-RNN_PyTorch$ python3 main.py
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I was skimming through the code and I noticed that the RecurrentNetwork activation is implemented in a rather strange way.
```py
for i, v in zip(self.input_nodes, inputs):
ivalues[i] = v
…
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Is https://github.com/nmiculinic/minion-basecaller/blob/master/mincall/example/example.model a well-trained model
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I ran the README.md example and training seems to consistently diverge. I'm sure I've got something wrong but before I start debugging, have you managed to reproduce the PTB results of the paper with …
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Hello everyone!
I'm currently enhancing the GGML implementation of a LSTM network.
My main focus is to avoid having scalability issues with the computational graph.
Currently I'm setting GGML_…
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While we were discussing #1675 and #1671 several improvements/updates to the recurrent network API came up. Instead of taking over #1675, @ToucheSir and myself thought it would be best to separate out…
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### Model Name
Drug-likeness scoring based on unsupervised learning
### Model Description
This model evaluates drug-likeness using an unsupervised learning approach, eliminating the need for labele…
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Hi @jcuda
I'm in the middle of trying out the jcuda RNN portion of the JCudnn library. As usual, everything is well thought out and I manage to find my way through a relatively convoluted nvidia's …
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I roughly skim-through the code base and searched for classes with `::Get` method. Some of these class objects are global singletons and have potential thread safety issues. I list the initial assessm…
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Hi Scott,
Thank you for sharing your code. I have a different captioning dataset similar to mscoco. It would be great if you can give some hints about how to convert the data to the torch format …