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Name: Rpersie

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Rpersie's Projects

pychain

PyTorch implementation of LF-MMI for End-to-end ASR

pykaldi2

Yet another speech toolkit based on Kaldi and PyTorch

pyspeechrev

This python code performs an efficient speech reverberation starting from a dataset of close-talking speech signals and a collection of acoustic impulse responses.

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-groupnormalization

Pytorch implementation of group normalization in https://arxiv.org/abs/1803.08494 (Following the PyTorch Style)

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

queens

Slides and programs for BitTiger lecture 10/05/2016

rcnn

R-CNN: Regions with Convolutional Neural Network Features

rekcarc-tsc-uht

清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University

returnn-experiments

experiments with RETURNN

rnnlib

RNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/

robustspeechrecognition

An Investigation Of Deep Neural Networks For Noise Robust Speech Recognition

rocalphago

An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.

rsr-gan

Pytorch Implementation of Robust Speech Recognition Using Generative Adversarial Networks

rsrgan

Robust Speech Recognition Using Generative Adversarial Networks (GAN)

salad

A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.

samplernn-pytorch

PyTorch implementation of SampleRNN: An Unconditional End-to-End Neural Audio Generation Model

sb-nmt

Code for Synchronous Bidirectional Neural Machine Translation (SB-NMT)

scalablefhvae

This repository contains the code to reproduce the core results from the paper "Scalable Factorized Hierarchical Variational Autoencoders"

segan

SeGAN: Segmenting and Generating the Invisible (https://arxiv.org/pdf/1703.10239.pdf)

seq2seq-vis

Visualization for Sequential Neural Networks with Attention

sequence-to-sequence-learning-of-financial-time-series-in-algorithmic-trading

My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓

signalgraph

Matlab-based deep learning toolkit that supports arbitrary directed acyclic graphs (DAG). Support DNN, LSTM, CNN layers and many signal processing layers. Include recipes/examples of using the tool for various tasks.

singing_voice_separation_rnn

Singing-Voice Separation From Monaural Recordings Using Deep Recurrent Neural Networks

sjtu-courses

上海交通大学课程资料分享

snr-based-progressive-learning-of-deep-neural-network-for-speech-enhancement

The implementation of the paper SNR-Based Progressive Learning of Deep Neural Network for Speech Enhancement.

source_separation_ml_jeju

Source Separation Project For ML Jeju Camp 2017

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