| rwth-i6/returnn |
347 |
|
0 |
0 |
about 2 years ago |
1,482 |
December 11, 2023 |
155 |
other |
Python |
| The RWTH extensible training framework for universal recurrent neural networks |
| greydanus/crypto-rnn |
133 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Learning the Enigma with Recurrent Neural Networks |
| Cloud-CV/diverse-beam-search |
60 |
|
0 |
0 |
over 7 years ago |
0 |
|
5 |
|
Lua |
| :mag: :shipit: Decoding Diverse Solutions from Neural Sequence Models |
| jayparks/quasi-rnn |
42 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
|
Python |
| A PyTorch Implementation of "Quasi-Recurrent Neural Networks" |
| zubara/mneflow |
31 |
|
0 |
0 |
over 2 years ago |
4 |
May 19, 2022 |
0 |
bsd-3-clause |
Python |
| Neural networks for EEG-MEG decoding with MNE-python and Tensorflow. |
| twhughes/Symbolic-Regression |
28 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
Python |
| predicting equations from raw data with deep learning |
| mravanelli/pytorch_MLP_for_ASR |
27 |
|
0 |
0 |
about 8 years ago |
0 |
|
1 |
|
Perl |
| This code implements a basic MLP for speech recognition. The MLP is trained with pytorch, while feature extraction, alignments, and decoding are performed with Kaldi. The current implementation supports dropout and batch normalization. An example for phoneme recognition using the standard TIMIT dataset is provided. |
| georgid/AlignmentDuration |
23 |
|
0 |
0 |
about 6 years ago |
0 |
|
44 |
agpl-3.0 |
Python |
| Lyrics-to-audio-alignement system. Based on Machine Learning Algorithms: Hidden Markov Models with Viterbi forced alignment. The alignment is explicitly aware of durations of musical notes. The phonetic model are classified with MLP Deep Neural Network. |
| shawntan/theano-kaldi |
10 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
Python |
| Bunch of scripts for working with Kaldi. |
| jmyrberg/finnlem |
8 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
Python |
| Neural network based lemmatizer for Finnish language |
