awslabs / awslabs/mountpoint-s3
Add ML benchmarks
- Dominant language
- Rust
- Stars
- 5.8k
- Forks
- 251
- Avg merge
- 2d 3h
- Merged PRs (30d)
- 22
Description
### Tell us more about this new feature.
Hey there,
Awesome initiative. I have been looking for this for a long time.
I would be very interested to see how this compare to leading frameworks like RClone or GeeseFS on resized 256x256 Imagenet or Kinetics 700.
I think benchmarks are key for adoption of this new library and should be placed on the README for visibility.
Best,
T.C
Contributor guide
Research direction
Start with the README and the issue discussion, then clarify the benchmark scope, comparison targets, and datasets: RClone, GeeseFS, resized 256x256 ImageNet, and Kinetics 700. Done means reproducible benchmark results are agreed on and documented in the README.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, machine-learning, rust
- Domain
- documentation, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100