facebookresearch / facebookresearch/dynadiff
About fMRI decoder
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- Dominant language
- Python
- Stars
- 47
- Forks
- 5
- PR merge metrics
- No merged PRs in 30d
Description
Hello, why is the model architecture in the code different from that in the paper?(many tiny differences)
For example, I noticed that the code uses residual connection layers, but the paper does not mention it.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the model architecture implementation and the corresponding fMRI decoder paper, focusing on the residual connection layers and the other differences mentioned in the issue. Compare the two descriptions and document why the implementation diverges, or identify any confirmed mismatch that needs a separate change.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100