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Done:
- ANN
- Regularisations
- Skip significance test for NN
To-do:
- Update k_fold Cross validation
- Model Comparison: performance, accuracy, interpretability, efficiency.
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Hi,
Thank you for developing this incredibly useful pipeline. It has been instrumental in my scRNA-seq analysis work. I have encountered an interesting issue while using the script provided: when u…
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Dear developers,
1. I am applying LayerLRP method on a model for calculating attribution scores on the embedding layer's output by calling
llrp = LayerLRP(model, layer= model.embedding). But this …
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## Why
Machine Learning 輪講は最新の技術や論文を追うことで、エンジニアが「技術で解決できること」のレベルをあげていくことを目的にした会です。
prev. #34
## What
話したいことがある人はここにコメントしましょう!
面白いものを見つけた時点でとりあえず話すという宣言だけでもしましょう!
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Train a separate model specifically for the task of inverse modeling, where the goal is to infer the previous state and rule from a given state or sequence of states. This model would essentially lear…
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Before I forget my thoughts on this topic, I was chatting with @sudomaze today in a stream and we had a great exchange that is looking far into the future. Not even sure when we could work on this but…
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Pose a question about one of the following possibility readings:
“[The unreasonable effectiveness of deep learning in artificial intelligence](https://www.pnas.org/content/pnas/early/2020/01/23/19…
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I notice that most image classification tasks are based on efficient-kan instead of original kan. I want to know if it is possible to plot and prune the efficient-kan just like the examples in origina…
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Google Brain open-sourced a simple impl based on FFT: https://github.com/brain-research/conv-sv/blob/master/conv2d_singular_values.py ([paper](https://arxiv.org/abs/1805.10408))
It could be a nice …
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so far I find that all exaples is generated by some function, I want to test the KAN in real world.
I choose the famous boston house prices dataset from the https://www.kaggle.com/datasets/vikrishnan…