CapsNet Model
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 17.9k
- Forks
- 7.3k
- Avg merge
- 1d 15h
- Merged PRs (30d)
- 13
Description
Recently Geoffrey Hinton and his team introduced a new interesting deep neural network model, called CapsNet.
I think the implementation of this Net on PyTorch and train it on ImageNet Data set, and after that add its pre-trained model to TorchVision Models would be great for the PyTorch community.
Thanks to the PyTorch team
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 file, test, or entry point is named. Start by reviewing the repository's existing model implementations and contribution conventions, then assess the requested CapsNet implementation, ImageNet training, and pretrained TorchVision model integration. Done means these three requested outcomes are supported and verified.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100