You could try to save the MATLAB model parameters as .mat files.
After re-building the model in PyTorch, you could load these parameters using scipy.io 69 and assign them to your PyTorch model.
Make sure you check the shaped and also possible flipped kernels, since some frameworks flip the conv kernels to use a convolution instead of the correlation.