| LeeJunHyun/Image_Segmentation |
2,186 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
|
Python |
| Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net. |
| r9y9/deepvoice3_pytorch |
1,906 |
|
0 |
0 |
over 2 years ago |
0 |
|
43 |
other |
Python |
| PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models |
| junfu1115/DANet |
1,556 |
|
0 |
0 |
over 5 years ago |
0 |
|
33 |
mit |
Python |
| Dual Attention Network for Scene Segmentation (CVPR2019) |
| hyunwoongko/transformer |
1,014 |
|
0 |
0 |
almost 3 years ago |
0 |
|
5 |
|
Python |
| PyTorch Implementation of "Attention Is All You Need" |
| maxjcohen/transformer |
691 |
|
0 |
0 |
almost 3 years ago |
0 |
|
6 |
gpl-3.0 |
Jupyter Notebook |
| Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series. |
| google-research/long-range-arena |
635 |
|
0 |
0 |
over 2 years ago |
0 |
|
27 |
apache-2.0 |
Python |
| Long Range Arena for Benchmarking Efficient Transformers |
| jtkim-kaist/VAD |
632 |
|
0 |
0 |
almost 5 years ago |
0 |
|
32 |
|
MATLAB |
| Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset. |
| Canjie-Luo/MORAN_v2 |
593 |
|
0 |
0 |
over 3 years ago |
0 |
|
24 |
mit |
Python |
| MORAN: A Multi-Object Rectified Attention Network for Scene Text Recognition |
| EdGENetworks/attention-networks-for-classification |
477 |
|
0 |
0 |
about 6 years ago |
0 |
|
8 |
|
Jupyter Notebook |
| Hierarchical Attention Networks for Document Classification in PyTorch |
| stanfordnlp/mac-network |
445 |
|
0 |
0 |
about 5 years ago |
0 |
|
9 |
apache-2.0 |
Python |
| Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018) |
