tensorflow / tensorflow/models
📄 Community requests: New paper implementations
Open
@jaeyounkim is already working on this.
Since Jun 6, 2020.
models:official
type:support
- Dominant language
- Python
- Stars
- 77.7k
- Forks
- 44.8k
- PR merge metrics
- No merged PRs in 30d
Description
This issue contains all open requests for paper implementations requested by the community.
We cannot guarantee that we can fulfill community requests for specific paper implementations.
If you'd like to contribute, please add a comment to the relevant GitHub issue to express your interest in providing your paper implementation.
Awesome external contributors will be nominated for Google Open Source Peer Bonus.
Please also see our contribution guidelines and paper selection criteria.
Computer Vision
| Paper | Conference | GitHub issue | Note |
|---|---|---|---|
| ResNeXt: Aggregated Residual Transformations for Deep Neural Networks | CVPR 2017 | #6752 | |
| DenseNet: Densely Connected Convolutional Networks | CVPR 2017 | #8278 | |
| Density estimation using Real NVP | ICLR 2017 | #7848 | Need to migrate TF 1 code to TF 2 |
| Spatiotemporal Contrastive Video Representation Learning | CVPR 2021 | #9993 | In progress (Internally) |
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.
Assessment
This issue has not been assessed yet.