FluxML / FluxML/GeometricFlux.jl
Implementation of E(N)-Equivariant Steerable CNNs
Open
- Dominant language
- Julia
- Stars
- 353
- Forks
- 31
- PR merge metrics
- No merged PRs in 30d
Description
> [QUVA-Lab/escnn](https://github.com/QUVA-Lab/escnn)
> Ref. [A Program to Build E(N)-Equivariant Steerable CNNs](https://openreview.net/forum?id=WE4qe9xlnQw)
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by reviewing the linked escnn repository and the referenced paper, then compare their E(N)-equivariant steerable CNNs with GeometricFlux.jl's existing capabilities. The issue does not name files, tests, or a precise scope; done would require agreeing on and implementing the missing functionality in GeometricFlux.jl.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100