tensorflow / tensorflow/models
[Help wanted] Research paper implementations (Project Tracker)
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Since Jun 21, 2020.
help wanted:paper implementation
models:research
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Description
Help wanted: Research paper code and models
This issue contains a list of the research papers we want to implement in TensorFlow 2 with help from the community.
If you'd like to contribute, please add a comment to the relevant GitHub issue or create a new 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 | GitHub issue | Status |
|---|---|---|
| FCOS: Fully Convolutional One-Stage Object Detection | #10275 | In progress |
| DarkPose: Distribution Aware Coordinate Representation for Human Pose Estimation | #8713 | In progress |
| MoCo: Momentum Contrast for Unsupervised Visual Representation Learning | #8708 | Need contribution |
| YOLOv4 Optimal Speed and Accuracy of Object Detection | N/A | In progress |
Natural Language Processing
| Paper | GitHub issue | Status |
|---|---|---|
| RoBERTa: A Robustly Optimized BERT Pretraining Approach | #8704 | Need contribution |
| RoFormer: Enhanced Transformer with Rotary Position Embedding | N/A | In progress |
| Longformer: The Long-Document Transformer | N/A | In progress |
| BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension | N/A | In progress |
Benchmark datasets
| Dataset | GitHub issue(s) | Status |
|---|
Speech Recognition
| Paper | Conference | GitHub issue | Status |
|---|---|---|---|
| Deep Speech 2: End-to-End Speech Recognition in English and Mandarin | ICML 2016 | #8702 | In progress |
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
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