gsig / gsig/charades-algorithms
Add LSTM baseline to PyTorch codebase
Open
- Dominant language
- Lua
- Stars
- 206
- Forks
- 59
- PR merge metrics
- No merged PRs in 30d
Description
TODO. In the meantime, see the Torch codebase.
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by locating the Torch codebase referenced in the issue and reviewing its existing activity-recognition algorithms. The issue provides no file, entry point, test, or acceptance criteria; completion would require defining and adding an LSTM baseline, then establishing how it should be evaluated.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- lua, pytorch
- Domain
- computer-vision, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100