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An overview of the HD 143006 imaging series is provided in #25
Part III is meant to be the "production-ready" version of a MPoL imaging script. The idea is to use computational resources to do hype…
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**Revised target audience, learning objective and plans**
**Target audience:** Experimental biologists and biomedical research communities, with a focus on two key professional/career groups
1. …
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## 一言でいうと
光学的にニューラルネットを実装する手法の研究。今までできていなかったCNNを、しかも自然光(インコヒーレント)で実装している。位相マスクを使い一画像内に複数の変換結果を並べることで、畳み込みによるチャンネル分の画像を表現している。これでCNNの一層目を実装し、以後は通常のCNNへ入力する
![image](https://user-images.githubuser…
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Dear authors,
First, I want to applaud you for your great paper acceptance, and thank you for making the model weights available. I read your paper carefully, but I still have questions I hope you …
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### Title of the resource
Digitizing the Materiality of the Premodern Book
### Resource type
External Resource
### Authors, editors and contributors
Pia Fiedler (contributor), Sarah Lang (contrib…
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It is useful to know who is using scikit-image when planning funding proposals. I was looking a little into how one can extract information such as that presented in [GitHub's dependents view](https:/…
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Implementing Transform-based Tensor Model in Python:
List
1. Transform-based Tensor Model [1][2]
a) the low-tubal-rank tensor model [2], tSVD when the transform is DFT (Discrete Fourier Trans…
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**Oh my, it's OA! And Swung authors too :) This one should be easy.**
Learned multiphysics inversion with differentiable programming and machine learning
Mathias Louboutin, Ziyi Yin, Rafael Oroz…