update docs

fsprojects · Feb 15, 2025 · 6bc6b88 · 6bc6b88
1 parent 6ece1f9
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diff --git a/.github/workflows/build-test-docs-publish.yml b/.github/workflows/build-test-docs-publish.yml
@@ -83,7 +83,6 @@ jobs:
         publish_dir: ./output
         publish_branch: main
         force_orphan: true
-        environmentPurl : https://furnace.github.io
   pack_cpu:
 
     runs-on: ubuntu-latest

diff --git a/Directory.Build.props b/Directory.Build.props
@@ -38,7 +38,7 @@
     <RepositoryType>git</RepositoryType>
     <Copyright>Copyright 2014-2025 DiffSharp and Furnace contributors</Copyright>
     <PackageTags>F# fsharp ML AI Machine Learning PyTorch Tensor Automatic Differentiation Gradients Differentiable Programming</PackageTags>
-    <Description>Furnace is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and installation instructions visit: https://furnace.github.io/</Description>
+    <Description>Furnace is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and installation instructions visit: https://fsprojects.github.io/furnace/</Description>
 
     <!-- local build uses number unique by day -->
     <PackageVersion Condition="'$(GITHUB_ACTIONS)' != 'true'">$(Version)-local-$([System.DateTime]::Now.ToString(`yyMMdd`))</PackageVersion>

diff --git a/docs/index.fsx b/docs/index.fsx
@@ -28,8 +28,8 @@ Formatter.Register(fun (x:obj) (writer: TextWriter) -> fprintfn writer "%120A" x
 #endif // IPYNB
 
 (**
-[![Binder](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Furnace/Furnace.github.io/blob/master/{{fsdocs-source-basename}}.ipynb)&emsp;
-[![Binder](img/badge-binder.svg)](https://mybinder.org/v2/gh/Furnace/Furnace.github.io/master?filepath={{fsdocs-source-basename}}.ipynb)&emsp;
+[![Binder](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/fsprojects/furnace/blob/master/{{fsdocs-source-basename}}.ipynb)&emsp;
+[![Binder](img/badge-binder.svg)](https://mybinder.org/v2/gh/fsprojects/furnace/master?filepath={{fsdocs-source-basename}}.ipynb)&emsp;
 [![Script](img/badge-script.svg)]({{fsdocs-source-basename}}.fsx)&emsp;
 [![Script](img/badge-notebook.svg)]({{fsdocs-source-basename}}.ipynb)
 
@@ -81,7 +81,7 @@ Furnace uses [the incredible F# programming language](https://dot.net/fsharp) fo
 
 All documentation pages in this website are interactive notebooks which you can execute directly in your browser without installing anything in your local machine.
 
-Using the buttons [![Binder](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Furnace/Furnace.github.io/blob/master/{{fsdocs-source-basename}}.ipynb) [![Binder](img/badge-binder.svg)](https://mybinder.org/v2/gh/Furnace/Furnace.github.io/master?filepath={{fsdocs-source-basename}}.ipynb) on the top of each page, you can execute the page as an interactive notebook running on cloud servers provided by [Google Colab](https://colab.research.google.com/) and [Binder](https://mybinder.org/).
+Using the buttons [![Binder](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/fsprojects/furnace/blob/master/{{fsdocs-source-basename}}.ipynb) [![Binder](img/badge-binder.svg)](https://mybinder.org/v2/gh/fsprojects/furnace/master?filepath={{fsdocs-source-basename}}.ipynb) on the top of each page, you can execute the page as an interactive notebook running on cloud servers provided by [Google Colab](https://colab.research.google.com/) and [Binder](https://mybinder.org/).
 
 Using the buttons [![Script](img/badge-script.svg)]({{fsdocs-source-basename}}.fsx) 
 [![Script](img/badge-notebook.svg)]({{fsdocs-source-basename}}.ipynb) you can also download a page as a script or an interactive notebook, which you can execute locally in [Jupyter](https://jupyter.org/) or [Visual Studio Code](https://code.visualstudio.com/) using [dotnet interactive](https://github.com/dotnet/interactive).