-
Here is what I think I would like to do, although open to suggestion:
Univariate and multivariate regression analysis with the following predictor variables: AA_Steroid_IND + AA_Polyclonal_IND + AA_…
-
### Title
Big Linear Modelling and Big Linear Mixed Modelling
### Short description and the goals for the OHBM BrainHack
Large-scale, shared datasets are becoming increasingly commonplace in …
-
I am trying some analyses in which I take a movie and play it through the cone models. When I do this for the linear model there are some pixels that are "dead" - i.e. are not modulated. The biophys…
-
## Description
Problems with building cudla models using EngineCapability::kDLA_STANDALONE.
We want to use patterns kDLA_STANDALONE to run the model, but we encounter the following error when compili…
-
Under certain circumstances, the same simulated datasets give differing conclusions in hypothesis tests between lmer in R and proc mixed in SAS due to differences in model fits and Satterthwaite degre…
-
Hello, I noticed that in your code, the projection method of q, k, v is
`self.W_q = nn.Linear(d_model, 2 * self.d_head * num_heads, bias=False)`
However, in other repository I found they calculat…
-
## 🐞Describing the bug
The built-in Mish activation function in `coremltools` introduces significant numerical errors in Core ML models when using 16-bit floating point precision (FLOAT16) on configu…
-
Does torch.export preserve the quantize_per_tensor/dequantize_per_tensor ops? I was testing with
```python
import torch
from torchao.quantization.quant_api import (
quantize_,
int8_dyna…
-
Hello, I created a test script which I was testing on Aarch64 platform, for distilbert inference and using wanda sparsifier:
```
import torch
from transformers import BertForSequenceClassificatio…
-
Right now the basic linear models is not supported. Which is a shame, cause they are often quite useful.
From [sklearn.linear_model](https://scikit-learn.org/stable/modules/classes.html#module-skle…