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intfjgeorge/nngeometry (press backspace or delete to remove)Hi,
I am currently working with your NNGeometry library using the gram matrix calculator for NKT computations. In the source
code (if I got this correctly), I ve seen that you compute the Jacobian w.r.t. ...
KonstiNik
- 5
- Opened 13 days ago
- #94
I am currently writing a method to perform forgetting in RL. To do so I add to the model some noise based on the FIM. A
snippet for such an approach is:
def calculate_scrub_noise(self):
gaus_noise ...
vimmoos
- 4
- Opened on Sep 30, 2024
- #85
Is it possible to just ignore not supported models (like nn.module.BatchNorm2d)? I want to use nngeometry with timm
models.
fredguth
- 2
- Opened on Jun 5, 2024
- #82
First of all great library, I ve always been looking for some ways to get jacobians and fisher information matrices for
my PyTorch models. While the library is fine with my vision models based on simple ...
CarloNicolini
- 4
- Opened on Jan 11, 2024
- #79
Hello,
I am calculating the EK-FAC representation on the linear layers of a model with an embedding layer. The inputs are
integers which are lookup values and therefore should not be differentiated through. ...
Xuzzo
- 2
- Opened on Nov 18, 2023
- #74
Hello and thanks again for your work.
Would it be possible to add support for Conv1d layers in K-FAC?
Thanks
Xuzzo
- 2
- Opened on Nov 17, 2023
- #73
Hello and thanks for your work. Ekfac seems to have issues with models that work on double precision. Here is a code to
reproduce it:
from nngeometry.metrics import FIM
from nngeometry.object import PMatEKFAC ...
Xuzzo
- 2
- Opened on Oct 31, 2023
- #70
First, thanks for the amazing work! I want to compute the FIM of partial parameters which means only part of whole
parameters requires gradients, is that possible?
JiaxiangRen
- 1
- Opened on Sep 12, 2023
- #69
Many thanks for this interesting library!
Comparing with analytical expressions, I think the provided dense representation of Fisher information matrix is
calculated as the expectation over the data points ...
ksnxr
- 2
- Opened on Sep 2, 2023
- #68
import torch.nn as nn
from nngeometry.layercollection import LayerCollection
layers = [nn.Flatten(), nn.Linear(28 * 28, 100), nn.ReLU()] + \
[nn.Linear(100, 100), nn.ReLU()] * 10 + \
...
toontran
- 2
- Opened on Jul 27, 2023
- #60

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