From d2ce1d021ff55c3a9fe022ce4f2f987c8eca9662 Mon Sep 17 00:00:00 2001 From: Maxim Ziatdinov <34245227+ziatdinovmax@users.noreply.github.com> Date: Tue, 30 Mar 2021 22:15:36 -0400 Subject: [PATCH] Delete README.md --- examples/README.md | 10 ---------- 1 file changed, 10 deletions(-) delete mode 100644 examples/README.md diff --git a/examples/README.md b/examples/README.md deleted file mode 100644 index d2ebeb6..0000000 --- a/examples/README.md +++ /dev/null @@ -1,10 +0,0 @@ -The easiest way to start using pyroVED is via [Google Colab](https://colab.research.google.com/notebooks/intro.ipynb), which is a free research tool from Google for machine learning education and research built on top of Jupyter Notebook. The following notebooks can be executed in Google Colab by simply clicking on "Open in Colab" icon: -

- -* Shift-VAE: Application to 1D spectra with arbitrary offset in peak position [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/ziatdinovmax/pyroVED/blob/master/examples/shiftVAE.ipynb) - -* r-VAE: Application to arbitrary rotated 2D images [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/ziatdinovmax/pyroVED/blob/master/examples/rVAE.ipynb) - -* j(r)-VAE: Learning (jointly) discrete and continuous representations of the arbitrary rotated image data [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/ziatdinovmax/pyroVED/blob/main/examples/jrVAE.ipynb) - -* ss(r)-VAE: Semi-supervised learning for data with orientational disorder [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/ziatdinovmax/pyroVED/blob/main/examples/ssrVAE.ipynb)