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#### Describe the bug
The method `RegressionResults.condition_number(self)` uses un-standardized explanatory variables to calculate condition number, but according to the following article and a co…
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Hi,
First of all, thanks for writing `optimum-quanto`, it's been super interesting to learn and use in order for me to get deeper into quantisation tricks for large models.
I have a question how…
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### 🚀 The feature, motivation and pitch
Currently, _ModuleDict_ supports only keys of type _str_. In some cases, the modules have a hierarchical structure which is natural to describe by tuples.
```…
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| Exercise | Description | Completion |
| --------: | ------- | ------- |
| Q1.1 | Load DNM data | No |
| Q1.2 | Tabulate paternally and maternally inherited DNMs per proband | No |
| Q1.3 | Load …
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In the process of validating 2LPT velocities, we found something strange in the clustering of our sources in the snapshot boxes. We tried to check that velocities behave as expected in the linear regi…
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I think one of the main motives for LoRA is to reduce memory consumption—certainly that's my motive. I'm already using gradient checkpointing and AdaFactor so the main thing I want from LoRA is to red…
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Hello,
I implemented a brutally simple infinite-width model, calling the kernel_fn with a batch of a single vector.
When I run this on CPU, I don't run into any exorbitant memory issues.
How…
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I noticed that `FullLaplace` produces float results even when only objects of double precision are being used. Here is a quick example
```
import torch
import torch.nn as nn
from torch.utils.data…
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Hi,
when I import this library and run the code, I get the Error: `ModuleNotFoundError: No module named 'sklearn.linear_model.stochastic_gradient'`
no matter where to install ... i installed on bo…
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## 🐛 Bug
We're trying to privately fine-tune a ViT B/16 model ([link](https://github.com/mlfoundations/open_clip/tree/main)) with CIFAR-10 data. The non-private version uses `MultiHeadAttention` wh…