rerun the deep learning results and update using only braindecode
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 1.1k
- Forks
- 264
- Avg merge
- 1d 13m
- Merged PRs (30d)
- 23
Description
Since we want to keep less code for the deep learning part, and rely only on braindecode, we need to re-run the benchmark and update the table. This task will be done after we finish the new splits and improve the parallelization.
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
No files or tests are named. Start by locating the existing deep-learning benchmark and its results table, then wait for the new splits and improved parallelization; done means rerunning the benchmark with only braindecode and updating the table.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, performance
- Issue type
- Refactor
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100