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car_evaluation_classification

用传统神经网络(tensorflow)实现的汽车测评分类

cnn_relation_extraction

基于卷积深度神经网络的关系提取分类模型

comparation_study_sr

this is a project of source code about the compartion of the deep learning methodologies for the speaker recognition , we reimplemneted the most well know models specifically SVM, GMM, and HMM to see the performance in the same cases of the input.

deep_speaker

Triplet Loss implementation of Deep Speaker

deep_speaker-speaker_recognition_system

Keras implementation of ‘’Deep Speaker: an End-to-End Neural Speaker Embedding System‘’ (speaker recognition)

deeplearning_baseontensorflow

基于TensorFlow的深度学习、深度增强学习代码：NN(传统神经网络)、CNN(卷积神经网络)、RNN(递归神经网络)、LSTM(长短期记忆网络)、GAN(生成对抗网络)、DRL(深度增强学习)

dvector

Speaker embedding (d-vector) trained with GE2E loss

dvectorspeakerrecognition

基于dVector的说话人识别keras

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

exercise

exercise for nndl

ge2e-loss

Pytorch implementation of Generalized End-to-End Loss for speaker verification

gender-recognition

TensorFlow CNN卷积神经网络实现人脸性别检测

merlin

This is now the official location of the Merlin project.

network_for_fusion

为了写每二篇论文，里面使用了特征的加权融合，需要加权系数的更新，所以写了一个神经网络的框架。

neural_network

python实现的简单三层二元分类神经网络

nndl-codes

Sample Codes for NNDL

nndl.github.io

《神经网络与深度学习》 Neural Network and Deep Learning

python-100-days

Python - 100天从新手到大师

pytorch-kaldi

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.

rawnet

Reproducing RawNet paper with Keras and additional experiments with PyTorch.

rescnn_speaker_recognition

used ResCNN do speaker recognition

sincconvbasedspeakerrecognition

speaker-diarization

speaker diarization by uis-rnn and speaker embedding by vgg-speaker-recognition

speaker-recognition

Speaker recognition with Deep Neural Network

speaker-recognition-1

PyTorch implementation using high-level framework Catalyst of the paper Utterance-level Aggregation For Speaker Recognition In The Wild

speaker-recognition-2

speaker-recognition-3

Recognize your voice using this project.

speaker-recognition-4

Speaker Recognition Module for digital attendance.

speaker-recognition-master

speaker-recognition-pytorch

Speaker recognition ,Voiceprint recognition