| bentrevett/pytorch-seq2seq |
5,024 |
|
0 |
0 |
about 2 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText. |
| huseinzol05/NLP-Models-Tensorflow |
1,329 |
|
0 |
0 |
over 5 years ago |
0 |
|
3 |
mit |
Jupyter Notebook |
| Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0 |
| SuperBruceJia/EEG-DL |
563 |
|
0 |
0 |
about 3 years ago |
10 |
May 13, 2020 |
4 |
mit |
Python |
| A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow. |
| keon/seq2seq |
502 |
|
0 |
0 |
over 5 years ago |
0 |
|
11 |
mit |
Python |
| Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch |
| zhanzecheng/SOHU_competition |
216 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Sohu's 2018 content recognition competition 1st solution(搜狐内容识别大赛第一名解决方案) |
| lipiji/neural-summ-cnndm-pytorch |
194 |
|
0 |
0 |
almost 4 years ago |
0 |
|
4 |
mit |
Python |
| Neural abstractive summarization (seq2seq + copy (or pointer network) + coverage) in pytorch on CNN/Daily Mail |
| MachineLP/train_arch |
154 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
Python |
| cnn+rnn+attention: vgg(vgg16,vgg19)+rnn(LSTM, GRU)+attention, resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnnrnn(LSTM, GRU)+attention, inception_v4+rnn(LSTM, GRU)+attention, inception_resnet_v2+rnn(LSTM, GRU)+attention,..... vgg(vgg16,vgg19), resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152), inception_v4, inception_resnet_v2,..... |
| GitHub-HongweiZhang/prediction-flow |
136 |
|
0 |
0 |
about 5 years ago |
5 |
March 11, 2021 |
1 |
mit |
Python |
| Deep-Learning based CTR models implemented by PyTorch |
| lium-lst/nmtpy |
128 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
other |
Python |
| nmtpy is a Python framework based on dl4mt-tutorial to experiment with Neural Machine Translation pipelines. |
| harpribot/deep-summarization |
126 |
|
0 |
0 |
over 8 years ago |
0 |
|
5 |
mit |
Python |
| Uses Recurrent Neural Network (LSTM/GRU/basic_RNN units) for summarization of amazon reviews |
