| karpathy/char-rnn |
11,227 |
|
0 |
0 |
over 2 years ago |
0 |
|
112 |
|
Lua |
| Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch |
| abhshkdz/neural-vqa |
486 |
|
0 |
0 |
almost 10 years ago |
0 |
|
3 |
|
Lua |
| :grey_question: Visual Question Answering in Torch |
| shuohangwang/SeqMatchSeq |
258 |
|
0 |
0 |
over 8 years ago |
0 |
|
3 |
|
Lua |
| cheng6076/SNLI-attention |
228 |
|
0 |
0 |
over 9 years ago |
0 |
|
2 |
|
Lua |
| SNLI with word-word attention by LSTM encoder-decoder |
| zhangzibin/char-rnn-chinese |
190 |
|
0 |
0 |
over 9 years ago |
0 |
|
2 |
|
Lua |
| Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things. |
| gsig/charades-algorithms |
171 |
|
0 |
0 |
over 7 years ago |
0 |
|
5 |
|
Lua |
| Activity Recognition Algorithms for the Charades Dataset |
| miyamotok0105/pytorch_handbook |
111 |
|
0 |
0 |
about 3 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| pytorch_handbook |
| iassael/torch-bnlstm |
91 |
|
0 |
0 |
almost 10 years ago |
0 |
|
1 |
|
Lua |
| Batch-Normalized LSTM (Recurrent Batch Normalization) implementation in Torch. |
| rdspring1/PyTorch_GBW_LM |
90 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
apache-2.0 |
Python |
| PyTorch Language Model for 1-Billion Word (LM1B / GBW) Dataset |
| buomsoo-kim/PyTorch-learners-tutorial |
71 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| PyTorch tutorial for learners |
