Kaixhin / Kaixhin/Autoencoders
WTA-AE
Open
enhancement
- Dominant language
- Lua
- Stars
- 473
- Forks
- 78
- PR merge metrics
- No merged PRs in 30d
Description
Have you test the WTA-AE on mnist like the NIPS paper? By myself, the performance is worse than that reported in the paper.
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by reproducing the WTA-AE result on MNIST and compare the setup and reported performance with the NIPS paper. The payload names no implementation files or tests, so first locate the WTA-AE entry point and its MNIST configuration. Done means determining whether the discrepancy is reproducible and documenting the finding or its cause.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- lua
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100