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)
ASR_Kaldi_DNN_Chinese
基于Kaldi的小词汇量汉语语音识别，使用DNN训练
ASR_Theory
语音识别理论，论文和PPT
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
Beamforming-for-speech-enhancement
simple delaysum, MVDR and CGMM-MVDR
BERT-pytorch
Google AI 2018 BERT pytorch implementation
CTCDecoder
Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python and OpenCL.
elasticsearch-spark-recommender
Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch
FrontEnd-AEC
Acoustic echo cancelation(AEC) is a main algorithm in the pipe line of acoustic devices with KWS or ASR. FNLMS is used.
google-access-helper
谷歌访问助手破解版
kaldi-decoders
Custom decoders for Kaldi
list_of_recommender_systems
A List of Recommender Systems and Resources
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)
Normalized-Quantized-LSTM
Implementation of NeurIPS 2019 paper "Normalization Helps Training of Quantized LSTM"
professional-programming
A collection of full-stack resources for programmers.
python-speech-enhancement
a python library for speech enhancement
pytorch-beginner
pytorch tutorial for beginners
QNNPACK
Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators
rnnoise-nu
Recurrent neural network for audio noise reduction, slightly improved for general use
Simple_KWS
GRU based keyword spotting, clean envirnoment
SpecAugment
A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain
Speech-Enhancement
A Multi-Channel Front End processing for speech enhancement
stanfordnlp
Official Stanford NLP Python Library for Many Human Languages
TensorFlow-speech-enhancement-Chinese
基于深度学习的语音增强、去混响