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Top 4 pretrained Open-Source Projects
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Project mention: AMD Accelerates AI Adoption on Windows 11 With New Developer Tools for Ryzen AI | /r/AMD_Stock | 2023-05-23Uh, maybe they didn't feel the need to look. I already pointed you to the ONNX project. Here are some ONNX-based. These are just the ones being shared with the community. The limit of AMD's responsibility is writing the low-level libraries to support ONNX.
Project mention: Instance segmentation of small objects in grainy drone imagery | /r/computervision | 2023-12-09Also, I’d suggest considering switching to the segmentation-models library - it provides U-Net models with a variety of pretrained backbones of as encoders. The author also put out a PyTorch version. https://github.com/qubvel/segmentation_models.pytorch https://github.com/qubvel/segmentation_models
pretrained related posts
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AMD Accelerates AI Adoption on Windows 11 With New Developer Tools for Ryzen AI
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Need Help With Darknet YOLOv4-Tiny Model In Unity Barracuda
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Need Help Converting Darknet Yolov4-tiny Model to ONNX
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segmentation-models No module Error
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recommendations for semantic segmentation of lowish volumes of biomedical images
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Can we use autoencoders to change an existing image instead of create one from scratch?
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Anyone implemented latest image segmentation models/tuning from cvpr 2021?
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A note from our sponsor - InfluxDB
www.influxdata.com | 5 May 2024
Index
What are some of the best open-source pretrained projects? This list will help you:
Project | Stars | |
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1 | models | 7,218 |
2 | segmentation_models | 4,611 |
3 | gan-vae-pretrained-pytorch | 162 |
4 | Did-Somebody-Say-Corgi | 87 |
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