Cadene / Cadene/pretrained-models.pytorch
SqueezeNext
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- Dominant language
- Python
- Stars
- 9.1k
- Forks
- 1.8k
- PR merge metrics
- No merged PRs in 30d
Description
SqueezeNext: Hardware-Aware Neural Network Design
Could you please suport the SqueezeNet？
Contributor guide
No contributing guide indexed for this repository
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
Review the repository's existing pretrained ConvNet implementations and PyTorch patterns first; no specific files, tests, or entry points are named. Clarify with maintainers whether the request is for SqueezeNext or SqueezeNet, then define the expected supported model and validation before starting.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100