wxb (WXB506)

WXB506

Geek Repo

Company:TJU

Location:BeingJing

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wxb's repositories

awesome-quantization-and-fixed-point-training

Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design

admm-pruning

Prune DNN using Alternating Direction Method of Multipliers (ADMM)

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ASR_Kaldi_DNN_Chinese

基于Kaldi的小词汇量汉语语音识别,使用DNN训练

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ASR_Theory

语音识别理论,论文和PPT

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awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

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Beamforming-for-speech-enhancement

simple delaysum, MVDR and CGMM-MVDR

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BERT-pytorch

Google AI 2018 BERT pytorch implementation

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CTCDecoder

Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python and OpenCL.

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dabnn

dabnn is an accelerated binary neural networks inference framework for mobile platform

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e6870

assignments for e6870 ASR class

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elasticsearch-spark-recommender

Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch

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FrontEnd-AEC

Acoustic echo cancelation(AEC) is a main algorithm in the pipe line of acoustic devices with KWS or ASR. FNLMS is used.

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google-access-helper

谷歌访问助手破解版

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kaldi-decoders

Custom decoders for Kaldi

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list_of_recommender_systems

A List of Recommender Systems and Resources

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model-compression

model compression based on pytorch (1、quantization: 16/8/4/2 bits(dorefa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、ternary/binary value(twn/bnn/xnor-net);2、 pruning: normal、regular and group convolutional channel pruning;3、 group convolution structure;4、batch-normalization folding for quantization)

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Normalized-Quantized-LSTM

Implementation of NeurIPS 2019 paper "Normalization Helps Training of Quantized LSTM"

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professional-programming

A collection of full-stack resources for programmers.

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python-speech-enhancement

a python library for speech enhancement

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pytorch-beginner

pytorch tutorial for beginners

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QNNPACK

Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators

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rnnoise-nu

Recurrent neural network for audio noise reduction, slightly improved for general use

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seq2seq

A general-purpose encoder-decoder framework for Tensorflow

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Simple_KWS

GRU based keyword spotting, clean envirnoment

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SpecAugment

A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain

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Speech-Enhancement

A Multi-Channel Front End processing for speech enhancement

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stanfordnlp

Official Stanford NLP Python Library for Many Human Languages

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TensorFlow-speech-enhancement-Chinese

基于深度学习的语音增强、去混响

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