Computer Vision¶
Description |
Computer Vision is about processing and understanding of image and video data. Machine learning can be used in computer vision to support many applications, including image classification, object detection, facial recognition, motion tracking, and image enhancement. |
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Projects |
5 |
Lines Committed vs. Age Chart (click to view) |
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Projects¶
Project |
Size Score |
Trend Score |
Byline |
|---|---|---|---|
2.5 |
3.5 |
An end-to-end PyTorch framework for image and video classification. |
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8.25 |
6.75 |
Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. |
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6.25 |
4.75 |
Nilearn is a Python module for fast and easy statistical learning on NeuroImaging data. It leverages the scikit-learn Python toolbox for multivariate statistics with applications such as predictive modeling, classification, decoding, or connectivity analysis. |
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9.5 |
4.0 |
Open source computer vision and machine learning library. |
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5.5 |
8.75 |
Datasets, Transforms and Models specific to Computer Vision |