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🔍 :shipit: Decoding Diverse Solutions from Neural Sequence Models
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Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Returnn347
3 months ago1,482December 11, 2023155otherPython
The RWTH extensible training framework for universal recurrent neural networks
Crypto Rnn133
7 years ago1Jupyter Notebook
Learning the Enigma with Recurrent Neural Networks
Diverse Beam Search60
6 years ago5Lua
:mag: :shipit: Decoding Diverse Solutions from Neural Sequence Models
Quasi Rnn42
6 years ago1Python
A PyTorch Implementation of "Quasi-Recurrent Neural Networks"
Mneflow31
7 months ago4May 19, 2022bsd-3-clausePython
Neural networks for EEG-MEG decoding with MNE-python and Tensorflow.
Symbolic Regression28
5 years agoPython
predicting equations from raw data with deep learning
Pytorch_mlp_for_asr27
6 years ago1Perl
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.
Alignmentduration23
4 years ago44agpl-3.0Python
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.
Theano Kaldi10
6 years agoPython
Bunch of scripts for working with Kaldi.
Language Translator Rnn8
7 years agoJupyter Notebook
I built a language translator algorithm using a Sequence to Sequence model Recurrent Neural Network.
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