Top 12 Jupyter Notebook semantic-segmentation Projects
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pytorch-segmentation
:art: Semantic segmentation models, datasets and losses implemented in PyTorch.
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InfluxDB
Purpose built for real-time analytics at any scale. InfluxDB Platform is powered by columnar analytics, optimized for cost-efficient storage, and built with open data standards.
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Deep-Learning-In-Production
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
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Human-Segmentation-PyTorch
Human segmentation models, training/inference code, and trained weights, implemented in PyTorch
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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SegGradCAM
SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping
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Subway-Station-Hazard-Detection
This project is part of the CS course 'Systems Engineering Meets Life Sciences II' at Goethe University Frankfurt. In this Computer Vision project, we developed a first prototype of a security system which uses the surveillance cameras at subway stations to recognize dangerous situations. The training data was artificially generated by a Unity-based simulation.
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Index
What are some of the best open-source semantic-segmentation projects in Jupyter Notebook? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | pytorch-segmentation | 1,640 |
| 2 | OneFormer | 1,438 |
| 3 | Deep-Learning-In-Production | 1,095 |
| 4 | STEGO | 696 |
| 5 | Entity | 688 |
| 6 | Human-Segmentation-PyTorch | 554 |
| 7 | HugsVision | 191 |
| 8 | SegGradCAM | 95 |
| 9 | NoCodeSeg | 50 |
| 10 | rankseg | 20 |
| 11 | Subway-Station-Hazard-Detection | 11 |
| 12 | Vision-Project-Image-Segmentation | 0 |
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