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@ellie-sleightholm
Based on this notebook:
https://github.com/marqo-ai/fine-tuning-embedding-models-course/blob/main/10_fine_tuning_CLIP_models.ipynb
I went through the code, It's a nice write-…
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### Model/Pipeline/Scheduler description
The paper's authors performs an analysis and proposes 1 line change in order to make Classifier-Free Guidance looks better
![cfg](https://github.com/huggin…
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I use 5,000 256x256 images to train on first step with this command
`python train.py --data_dir ../dataset256/dataset256 \
--bit_length 48 --image_resolution 256 --num_epochs 100 --data_size 5000 …
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The package needs an example of adding models and GAM would be a natural next step. See [here](https://github.com/stan-dev/rstanarm/blob/master/R/stan_gamm4.R) and [here](https://github.com/stan-dev/…
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we should have a didactical chunk that discusses how a super simple linear model can be used for classification, where f = w^T x
so, a simpler model before log. regr.
what we can discuss there is ho…
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For logistic regression, the rope range is a function of 3/sqrt(pi), as this is the sd of the logistic distribution (on the latent scale).
However, this is the _conditional_ sd, which is akin to sigm…
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If I run the following test script:
https://github.com/Jammy2211/autolens_workspace_test/blob/main/scripts/database/scrape/general.py
I get the following error:
```
Traceback (most recent …
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你好,我觉得您的前缀线性注意很棒!请问我该如何加入到我的模型代码中呢?我用一个mamba基线的ssm模型
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Hi,
I am a new user of Catboost and I was wondering if it is possible to implement model tree in catboost (or in gradient boosting regression trees in general).
My feeling is that by using linear …
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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…