Efficient 3dcnns
PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Flops Counter.pytorch | 2,606 |  | 5 | 19 | 3 months ago | 20 | October 27, 2023 | 30 | mit | Python |
| Flops counter for convolutional networks in pytorch framework | ||||||||||
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| Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code. | ||||||||||
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| Efficient 3dcnns | 549 | 2 years ago | 13 | mit | Python | |||||
| PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models. | ||||||||||
| Video Classification | 498 | 3 years ago | 26 | Jupyter Notebook | ||||||
| Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101 | ||||||||||
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| A repository of common methods, datasets, and tasks for video research | ||||||||||
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| Pseudo-3D Convolutional Residual Networks for Video Representation Learning | ||||||||||
| Dpc | 222 | 3 years ago | mit | Python | ||||||
| Video Representation Learning by Dense Predictive Coding. Tengda Han, Weidi Xie, Andrew Zisserman. | ||||||||||
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