pnn.pytorch
Noise mask neural network
A PyTorch implementation of a neural network architecture that modifies the input to its layers by applying noise masks.
PyTorch implementation of CVPR'18 - Perturbative Neural Networks http://xujuefei.com/pnn.html
57 stars
5 watching
6 forks
Language: Python
last commit: over 6 years ago Related projects:
Repository | Description | Stars |
---|---|---|
| An implementation of Time Delayed Neural Networks using PyTorch | 81 |
| An implementation of the Differentiable Neural Computer architecture in PyTorch | 94 |
| An implementation of a deep neural network architecture for image classification tasks | 273 |
| An implementation of a deep neural network architecture in PyTorch | 833 |
| An implementation of a lightweight convolutional neural network architecture for mobile devices | 191 |
| An implementation of a PyTorch-based neural network architecture for image classification tasks. | 68 |
| An implementation of Neural Turing Machines in PyTorch | 592 |
| A PyTorch implementation of a ShuffleNet-v2 neural network architecture for image classification. | 431 |
| A PyTorch implementation of the Mask R-CNN architecture | 995 |
| An implementation of a neural network architecture for processing graph-structured data and making predictions on nodes. | 466 |
| An implementation of a 1-bit weight neural network architecture using PyTorch | 124 |
| A Pytorch implementation of a neural network model for machine translation | 47 |
| A PyTorch implementation of a graph neural network architecture | 1,246 |
| An implementation of Kim's Convolutional Neural Networks for Sentence Classification in PyTorch | 1,022 |
| PyTorch implementation of PNASNet-5 architecture | 317 |