PaddleViT
inference
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| PaddleViT | inference | |
|---|---|---|
| 2 | 5 | |
| 1,169 | 1,022 | |
| - | 19.3% | |
| 0.0 | 9.9 | |
| over 1 year ago | 7 days ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
PaddleViT
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Researchers From China Propose A Pale-Shaped Self-Attention (PS-Attention) And A General Vision Transformer Backbone, Called Pale Transformer
Code for https://arxiv.org/abs/2112.14000 found: https://github.com/BR-IDL/PaddleViT
Github: https://github.com/BR-IDL/PaddleViT
inference
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Supervision: Reusable Computer Vision
Yeah, inference[1] is our open source package for running locally (either directly in Python or via a Docker container). It works with all the models on Universe, models you train yourself (assuming we support the architecture; we have a bunch of notebooks available[2]), or train in our platform, plus several more general foundation models[3] (for things like embeddings, zero-shot detection, question answering, OCR, etc).
We also have a hosted API[4] you can hit for most models we support (except some of the large vision models that are really GPU-heavy) if you prefer.
[1] https://github.com/roboflow/inference
[2] https://github.com/roboflow/notebooks
[3] https://inference.roboflow.com/foundation/about/
[4] https://docs.roboflow.com/deploy/hosted-api
- Serverless development experience for embedded computer vision
- FLaNK Stack Weekly 16 October 2023
- Show HN: Pip install inference, open source computer vision deployment
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