raminmh / liquid_time_constant_networks Goto Github PK

Traffic.py code is being killed while running on Ubuntu 18.04.5 LTS (GNU/Linux 5.4.0-1056-azure x86_64) Azure VM with Python-3.6.9 and tensorflow-cpu-1.14. Other algorithms like NODE, CT-RNN, LSTM, CT-GRU are running properly. Any such issue you faced while simulating the code? Please help.

Is it possible to set the BBPT length different from 32 in the LTC model?

Hello, this is a really nice model you have there. I would like to use it in one of my personal projects for research. Is it possible to add a license for this repository so that I know if I can use it or not ? Thanks

Dear Dr. Hasani,
I was reading your paper on Liquid Time-Constant Networks and was particularly intrigued by the method mentioned where inputs are multiplied by A-v to simulate the suppression of new input signals as the cell membrane potential increases. I attempted to apply this concept to the Leaky Integrate-and-Fire (LIF) model within a spiking neural network framework. The neural dynamics formula for the LIF model I employed is attached in the file.
In experiments conducted on the cifar10dvs dataset, I observed that incorporating this suppression effect resulted in a decrease in final test accuracy compared to the original neuron model. Could you advise if there are any specific considerations I should be aware of when adapting your ideas to spiking neural networks? Or, is it possible that such suppression due to increased potential is not applicable in image processing tasks? Thank you for your time and assistance.

Yours sincerely,
A student from the Shanghai University.

Traceback (most recent call last):
  File "c:\...\experiments_with_ltcs\ctrnn_model.py", line 105, in <module>
    class NODE(tf.nn.rnn_cell.RNNCell):
AttributeError: module 'tensorflow._api.v2.nn' has no attribute 'rnn_cell'

and I've to add, it's not solvable by replacing tf.nn.rnn_cell by tf.compat.v1.nn.rnn_cell
Any suggestions?

This directory is not found in the code. Can you help me out regarding this.
Thanks in advance

@raminmh @mlech26l

For example we have "Human Activity Recognition" dataset and our model is being trained over it. How can we pass our input(i.e a video) and check how the model is recognizing the human activity. Any insights will be helpful.

Thank you in advance

The paper proved that the system time-constant is stable. I would like to check the system time-constant value via each epoch in source code. Do you provide any code function to validate the system time-constant value?

Because I am facing a lot of errors by using the latest version of Tensorflow. Any insights from anyone is appreciated. Thank you in advance

When are you planning to run pytorch support
How long will it take?)

I am using the LTC network for my data and everything works fine. However, when I am trying to use LSTM, CTRNN or CTGRU, this error appears:

  File "seq.py", line 248, in fit
    if(len(self.constrain_op) > 0):
TypeError: object of type 'NoneType' has no len()

Do you have any idea why is this happening? Thank you in advance for your time.