Add more representative models for diverse as part of GA++ models
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- Dominant language
- Python
- Stars
- 5k
- Forks
- 1.2k
- Avg merge
- 2d 10h
- Merged PRs (30d)
- 581
Description
🚀 The feature, motivation and pitch
- Object Detection: yolov[8-10], detr-resnet-50, yolos, EfficientDet, MobileViT, OWL-ViT
- Depth Estimation: Depth Anything 2
- TTS: kokoro, parler-tts, microsoft/speecht5_tts
- Audio: Whisper, Wav2Vec2, AST, CLAP
- OCR: TrOCR, PaddlePaddle/PP-OCRv5_mobile_rec
- Image super resolution: Swin2SR, Real-ESRGAN
- Image Understanding: OpenCLIP, SegFormer
- Image reasoning: SmolVLM-256M-Instruct
- Semantic Text Search: sentence-transformers/all-MiniLM-L6-v2, BAAI/bge-base-en-v1.5
- Text Sentiment Analysis: RoBERTa
Alternatives
No response
Additional context
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RFC (Optional)
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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 files, tests, or entry points are named. Start by locating the existing GA++ model coverage and the integration process for representative models across the listed tasks. Done should mean the agreed model set is supported and validated, but the issue does not define which models or tests are required.
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
- 25/100