| ericjang/draw |
501 |
|
0 |
0 |
over 7 years ago |
0 |
|
9 |
apache-2.0 |
Python |
| TensorFlow Implementation of "DRAW: A Recurrent Neural Network For Image Generation" |
| lrjconan/GRAN |
363 |
|
0 |
0 |
almost 4 years ago |
0 |
|
7 |
mit |
C++ |
| Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019 |
| tuxchow/ccm |
187 |
|
0 |
0 |
over 7 years ago |
0 |
|
6 |
apache-2.0 |
Python |
| This project is a tensorflow implement of our work, CCM. |
| vivanov879/draw |
131 |
|
0 |
0 |
over 10 years ago |
0 |
|
4 |
|
Lua |
| Torch implementation of DRAW: A Recurrent Neural Network For Image Generation |
| seanie12/neural-question-generation |
103 |
|
0 |
0 |
over 5 years ago |
0 |
|
9 |
mit |
Python |
| Pytorch implementation of Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks |
| zysszy/TreeGen |
70 |
|
0 |
0 |
almost 4 years ago |
0 |
|
23 |
mit |
Python |
| A Tree-Based Transformer Architecture for Code Generation. (AAAI'20) |
| HareeshBahuleyan/tf-var-attention |
55 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
mit |
Python |
| Tensorflow Implementation of Variational Attention for Sequence to Sequence Models (COLING 2018) |
| parksunwoo/show_attend_and_tell_pytorch |
51 |
|
0 |
0 |
over 7 years ago |
0 |
|
5 |
|
Python |
| Pytorch implement Show, Attend and Tell: Neural Image Caption Generation with Visual Attention |
| harvardnlp/encoder-agnostic-adaptation |
38 |
|
0 |
0 |
about 6 years ago |
0 |
|
8 |
mit |
Python |
| Encoder-Agnostic Adaptation for Conditional Language Generation |
| zhanghainan/ReCoSa |
36 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
Python |
| ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation |
