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Title | Welcome to e3nn! {#welcome} | |
Description | e3nn: a modular PyTorch framework for Euclidean neural |
Keywords | N/A |
WebSite | e3nn.org |
Host IP | 185.199.111.153 |
Location | - |
Site | Rank |
US$1,810,584
Last updated: 2023-05-09 20:13:58
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Purchase/Sale Value | US$1,810,584 |
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e3nn e3nn: a modular PyTorch framework for Euclidean neural networks View My GitHub Profile Welcome! Getting Started How to use the Resources Installation Help Contributing Resources Math that’s good to know e3nn_tutorial e3nn_book Papers Previous Talks Poster Slack Recurring Meetings / Events Calendar e3nn Team Welcome to e3nn ! This is the website for the e3nn repository e3nn-jax Doc e3nn-torch Doc E(3) is the Euclidean group in dimension 3. That is the group of rotations, translations and mirror. e3nn-torch and e3nn-jax are respectively pytorch and jax libraries that aims to create E ( 3 ) equivariant n eural n etworks. Getting Started How to use the Resources If you’d like to generally learn what e3nn is and what it’s used for, check out some of previously recorded talks and skimming some of the papers . If you’d like to try out e3nn , the first step is to install it . Once you have e3nn up and running , try out the Jupyter notebooks in e3nn_tutorial . This will give you a feel |
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