Chen-Cai-OSU/awesome-equivariant-network
A curated paper list tracking key research on equivariant neural networks from 2016 onward.
★1.1k stars Learning
Not currently ranked — collecting fresh signals.
star history
This repository collects and organizes academic papers on equivariant neural networks, a branch of deep learning concerned with building invariance or equivariance to symmetry groups (rotations, permutations, etc.) into network architectures. The list covers foundational papers like Group Equivariant CNNs and Steerable CNNs, spanning theory, group convolutions, density estimation, and applications across computer vision and scientific computing.
Frequently asked
- What is Chen-Cai-OSU/awesome-equivariant-network?
- A curated paper list tracking key research on equivariant neural networks from 2016 onward.
- Is awesome-equivariant-network open source?
- Yes — Chen-Cai-OSU/awesome-equivariant-network is an open-source project tracked on heatdrop.
- How popular is awesome-equivariant-network?
- Chen-Cai-OSU/awesome-equivariant-network has 1.1k stars on GitHub.
- Where can I find awesome-equivariant-network?
- Chen-Cai-OSU/awesome-equivariant-network is on GitHub at https://github.com/Chen-Cai-OSU/awesome-equivariant-network.