From bab69ae386c2eef9a02c461e3c3e41d0d50807d3 Mon Sep 17 00:00:00 2001 From: Chris Abraham Date: Wed, 5 Jun 2024 09:03:03 +0700 Subject: [PATCH 1/2] Update PyTorch Geometric link Signed-off-by: Chris Abraham --- _ecosystem/pytorch-geometric | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/_ecosystem/pytorch-geometric b/_ecosystem/pytorch-geometric index 448c8681786a..6dba5ab31a44 100644 --- a/_ecosystem/pytorch-geometric +++ b/_ecosystem/pytorch-geometric @@ -2,11 +2,11 @@ layout: ecosystem_detail title: PyTorch Geometric summary: PyTorch Geometric is a library for deep learning on irregular input data such as graphs, point clouds, and manifolds. -link: https://github.com/rusty1s/pytorch_geometric +link: https://github.com/pyg-team/pytorch_geometric/ order: 15 summary-home: PyTorch Geometric is a library for deep learning on irregular input data such as graphs, point clouds, and manifolds. featured-home: true -redirect_to: https://github.com/rusty1s/pytorch_geometric -github-id: rusty1s/pytorch_geometric +redirect_to: https://github.com/pyg-team/pytorch_geometric/ +github-id: pyg-team/pytorch_geometric date-added: 7/14/19 --- From a24c5e758f877911b646234a37a8fc93433d3727 Mon Sep 17 00:00:00 2001 From: Chris Abraham Date: Wed, 5 Jun 2024 09:29:08 +0700 Subject: [PATCH 2/2] Updates to the join page Signed-off-by: Chris Abraham --- join.html | 54 ++++++++++++++++++++++++++++++++---------------------- 1 file changed, 32 insertions(+), 22 deletions(-) diff --git a/join.html b/join.html index c5293fac869d..05d1acde78fa 100644 --- a/join.html +++ b/join.html @@ -15,44 +15,54 @@

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According to statistics from MIT Sloan, 75% of top executives believe AI will help their organizations grow and gain a competitive edge. Since 2020, there has been a 14X increase in the number of active AI startups, and venture capitalist-funded startups have increased by 6X.  The PwC Global Artificial Intelligence Study indicates that AI has the potential to contribute $15.7 trillion to the global economy by 2030, with 45% of the total economic gains coming from product enhancements that stimulate consumer demand.

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By joining the PyTorch Foundation, you can help build and shape the future of end-to-end machine learning frameworks alongside your industry peers. PyTorch offers a user-friendly front-end, distributed training, and an ecosystem of tools and libraries that enable fast, flexible experimentation and efficient production.

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As a member of the PyTorch Foundation, you'll have access to resources that allow you to be stewards of stable, secure, and long-lasting codebases. You can collaborate on training, local and regional events, open-source developer tooling, academic research, and guides to help new users and contributors have a productive experience.

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