Riad Pytorch
PyTorch implementation of "Reconstruction by inpainting for visual anomaly detection (RIAD)"
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Pytorch Vqvae | 679 | 9 months ago | 6 | Python | ||||||
| Vector Quantized VAEs - PyTorch Implementation | ||||||||||
| Capsnet Pytorch | 409 | 5 years ago | 2 | bsd-3-clause | Python | |||||
| PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules | ||||||||||
| Qmnist | 227 | 2 years ago | other | Python | ||||||
| The QMNIST dataset | ||||||||||
| Bigan | 185 | 5 years ago | 5 | other | Python | |||||
| code for "Adversarial Feature Learning" | ||||||||||
| Video_predict | 75 | 2 years ago | 3 | mit | Python | |||||
| LSTM sequence modeling of video data | ||||||||||
| Adversarial Autoencoder | 57 | 5 years ago | 5 | mit | Python | |||||
| An adversarial autoencoder implementation in pytorch | ||||||||||
| Fspool | 41 | a year ago | 1 | mit | Python | |||||
| [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling | ||||||||||
| Playing_with_vae | 34 | 6 years ago | Jupyter Notebook | |||||||
| Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST | ||||||||||
| Capsnet | 26 | 5 years ago | mit | Python | ||||||
| Empirical studies on Capsule Network representation and improvements implemented with PyTorch. | ||||||||||
| Binding | 19 | 8 years ago | Jupyter Notebook | |||||||
| Code for the "Binding via Reconstruction Clustering" paper | ||||||||||
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Python
Mnist
Reconstruction
Anomaly Detection