Redirect ecosystem/join page (#1923)

Signed-off-by: Chris Abraham <[email protected]>

Author: cjyabraham

_posts/2019-07-18-pytorch-ecosystem.md

@@ -41,7 +41,7 @@ When we review project submissions for the PyTorch ecosystem, we take into accou
 5. *Ongoing maintenance:* Project authors need to be committed to supporting and maintaining their projects.
 6. *Community:* Projects should have (or be on track to building) an active, broad-based community.
 
-If you would like to have your project included in the PyTorch ecosystem and featured on [pytorch.org/ecosystem](http://pytorch.org/ecosystem), please complete the form [here](https://pytorch.org/ecosystem/join). If you've previously submitted a project for consideration and haven't heard back, we promise to get back to you as soon as we can - we've received a lot of submissions!
+If you would like to have your project included in the PyTorch ecosystem and featured on [pytorch.org/ecosystem](http://pytorch.org/ecosystem), please complete the form [here](https://github.com/pytorch-fdn/ecosystem). If you've previously submitted a project for consideration and haven't heard back, we promise to get back to you as soon as we can - we've received a lot of submissions!
 
 ## PyTorch Hub for reproducible research | New models
 

_posts/2024-05-11-enhancing-deep-learning.md

@@ -8,7 +8,7 @@ Welcome to the thriving PyTorch ecosystem, where a wealth of tools and libraries
 
 Initially, PyTorch aimed to establish a thriving community, enabling developers to access each other's tools, engage in meaningful discussions, and explore the wealth of resources available within the community. 
 
-Today, the PyTorch ecosystem has grown to feature over 100 projects tailored to your needs, providing robust support, enhanced speed, and effortless integration with PyTorch. If your project aligns with our mission, we invite you to [submit](https://pytorch.org/ecosystem/join) it and join this dynamic ecosystem.
+Today, the PyTorch ecosystem has grown to feature over 100 projects tailored to your needs, providing robust support, enhanced speed, and effortless integration with PyTorch. If your project aligns with our mission, we invite you to [submit](https://github.com/pytorch-fdn/ecosystem) it and join this dynamic ecosystem.
 
 New this month, we’ve moved all of our Ecosystem blogs over to our PyTorch.org website to host a space where our community can show off the latest innovations with our users. Read on to hear about the latest projects in the ecosystem!
 
@@ -94,7 +94,7 @@ Our  diverse ecosystem tools are instrumental in PyTorch's success.. They provid
 
 Leveraging these tools empowers developers and researchers to accelerate their deep learning workflows and unlock new possibilities in the field of AI.
 
-Have a tool that would be a good fit for the [PyTorch Ecosystem](https://pytorch.org/ecosystem/)? If you can answer the below questions, we’d love for you to [submit your tool for review](https://pytorch.org/ecosystem/join).
+Have a tool that would be a good fit for the [PyTorch Ecosystem](https://pytorch.org/ecosystem/)? If you can answer the below questions, we’d love for you to [submit your tool for review](https://github.com/pytorch-fdn/ecosystem).
 
 
 

_posts/2024-12-23-2024-year-in-review.md

@@ -40,7 +40,7 @@ Throughout the year the PyTorch Team has been working hard to introduce a number
 
 We’ve also had a number of strong technical showcases throughout the year to highlight how PyTorch can be used! [TorchTitan](https://arxiv.org/html/2410.06511v1) exhibited what an open source, PyTorch-native distributed training system could look like for training large language models (LLMs). [TorchChat](https://pytorch.org/blog/torchchat-local-llm-inference/) showcased how to seamlessly and performantly run LLMs across laptop, desktop, and mobile devices.
 
-As well we were very excited to include [multiple new projects](https://pytorch.org/blog/enhancing-deep-learning/) into the PyTorch ecosystem throughout 2024, including the introduction of  [vLLM](https://pytorch.org/blog/vllm-joins-pytorch/) into the PyTorch Ecosystem, a state-of-the-art inference engine, which gives machine learning engineers an easy, fast, and cheap way of serving LLMs. If you are interested in joining the PyTorch Ecosystem, please [join](https://pytorch.org/ecosystem/join)!
+As well we were very excited to include [multiple new projects](https://pytorch.org/blog/enhancing-deep-learning/) into the PyTorch ecosystem throughout 2024, including the introduction of  [vLLM](https://pytorch.org/blog/vllm-joins-pytorch/) into the PyTorch Ecosystem, a state-of-the-art inference engine, which gives machine learning engineers an easy, fast, and cheap way of serving LLMs. If you are interested in joining the PyTorch Ecosystem, please [join](https://github.com/pytorch-fdn/ecosystem)!
 
 
 ![people at a conference](/assets/images/2024-year-in-review/fg4.jpg){:style="width:100%"}

_posts/2025-01-28-2025-priorities-for-tac.md

@@ -22,4 +22,4 @@ In 2025, the TAC will focus on four key areas:
 
 By focusing on these priorities, the TAC aims to maintain PyTorch’s position as the leading deep learning framework, while ensuring it remains open, accessible, and responsive to the needs of its diverse community.
 
-As members of the TAC, we’re extremely excited to contribute to the success of PyTorch and to the impact it’s having in the real world. If you are a PyTorch user or developer, consider [participating in our monthly calls](https://zoom-lfx.platform.linuxfoundation.org/meetings/pytorch?__hstc=132719121.a26416c161ac91bef494ffc19f91a62e.1723036593114.1738082449904.1738088158683.375&__hssc=132719121.1.1738088158683&__hsfp=810579359) (they are open to everyone, and the recordings are available [here](https://lists.pytorch.org/g/tac)). Also, if you develop or maintain a project based on PyTorch, consider contributing it to the new PyTorch ecosystem ([instructions](https://pytorch.org/ecosystem/join)).
+As members of the TAC, we’re extremely excited to contribute to the success of PyTorch and to the impact it’s having in the real world. If you are a PyTorch user or developer, consider [participating in our monthly calls](https://zoom-lfx.platform.linuxfoundation.org/meetings/pytorch?__hstc=132719121.a26416c161ac91bef494ffc19f91a62e.1723036593114.1738082449904.1738088158683.375&__hssc=132719121.1.1738088158683&__hsfp=810579359) (they are open to everyone, and the recordings are available [here](https://lists.pytorch.org/g/tac)). Also, if you develop or maintain a project based on PyTorch, consider contributing it to the new PyTorch ecosystem ([instructions](https://github.com/pytorch-fdn/ecosystem)).

ecosystem/ecosystem.html

@@ -14,7 +14,7 @@ <h1>
     </h1>
 
     <p class="lead">Tap into a rich ecosystem of tools, libraries, and more to support, accelerate, and explore AI development.</p>
-    <p class="ecosystem-join"><a href="{{ site.baseurl }}/ecosystem/join">Join the Ecosystem</a></p>
+    <p class="ecosystem-join"><a href="https://github.com/pytorch-fdn/ecosystem">Join the Ecosystem</a></p>
 
   </div>
 </div>
@@ -64,7 +64,7 @@ <h1>
 
       <div class="join-notice">
         <p>Have a project you want featured?</p>
-        <p><a class="join-link" href="{{ site.baseurl }}/ecosystem/join">Join the PyTorch ecosystem</a></p>
+        <p><a class="join-link" href="https://github.com/pytorch-fdn/ecosystem">Join the PyTorch ecosystem</a></p>
       </div>
 
     </div>

ecosystem/join.html

@@ -4,57 +4,5 @@
 permalink: ecosystem/join.html
 body-class: ecosystem
 background-class: ecosystem-join-background
+redirect_to: https://github.com/pytorch-fdn/ecosystem
 ---
-
-<div class="jumbotron jumbotron-fluid join-jumbotron">
-  <div class="container">
-    <h1><span>Join The</span> <br>Ecosystem</h1>
-
-  </div>
-</div>
-
-<div class="main-content-wrapper join-wrapper">
-  <div class="main-content">
-    <div class="container">
-
-      <!-- START CONTENT -->
-
-      <div class="row">
-        <div class="col-md-12 join-intro">
-          <div class="intro-message">
-            <p>Thank you for being part of the PyTorch community! The PyTorch ecosystem consists of projects, tools, and libraries from a broad set of researchers in academia and industry, application developers, and ML engineers.
-            The goal of this ecosystem is to support, accelerate, and aid in your exploration with PyTorch. Below are a few questions to think about if you'd like to have your project included as part of the ecosystem:</p>
-          </div>
-
-          <div class="row requirements">
-            <div class="col-md-1 join-number">
-              <h1>01</h1>
-            </div>
-
-            <div class="col-md-11">
-              <p><span>Can your project be used with or within PyTorch to help augment the user experience, enable new capabilities or speed up training/inference?</span><br>
-              Examples could include visualization tools, a kernel library or a framework that sits on top to enable research in a particular area such as NLP.</p>
-            </div>
-
-          </div>
-
-          <div class="row requirements">
-            <div class="col-md-1 join-number">
-              <h1>02</h1>
-            </div>
-
-            <div class="col-md-11">
-              <p><span>Is the project ready for broad developer usage?</span><br>
-              For example, is the project stable, will it be maintained, and is there adequate supporting infrastructure, documentation, and technical support to allow a developer to successfully use it?</p>
-            </div>
-          </div>
-
-          <p>If you answered 'yes' to both, please fill out the form below with more details, and we'll follow up with next steps. If your tool seems like a good fit, the PyTorch Foundation team will work with you to find a time present your tool to the TAC.
-          </p>
-        </div>
-
-        {% include ecosystem_form.html %}
-      </div>
-    </div>
-  </div>
-</div>