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Name: Bob

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Bob's Projects

3d-speaker

A repository for single- and multi-modal speaker verification, speaker recognition and speaker diarization.

asv-subtools

An Open Source Tools for Speaker Recognition

attention_unet

Raw implementation of attention gated U-Net by Keras

chinese_ocr

CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras

convert2clash

clashR、clash、ss、ssr、v2ray订阅转clash，文件在本地生成，无需上传至第三方服务

coral

Correlation Alignment for Domain Adaptation

cultural_inheritance-recognizing_chinese_calligraphy_in_multiple_scenarios

文化传承—汉字书法多场景识别比赛

densenet-tensorflow-1

Simple Tensorflow implementation of Densenet using Cifar10, MNIST

ecapa-tdnn

Unofficial reimplementation of ECAPA-TDNN for speaker recognition (EER=0.86 for Vox1_O when train only in Vox2)

finetune_alexnet_with_tensorflow

Code for finetuning AlexNet in TensorFlow >= 1.2rc0

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gradient_reversal_keras_tf

Keras implementation of a gradient reversal layer for the Tensorflow backend

gradientreversal

Tensorflow implementation of the Gradient Reversal layer from https://arxiv.org/abs/1505.07818

hierarchical-clustering

Hierarchical Clustering Python Implementation

htkio

read and write htk format binary file in python

image_class

基于keras集成多种图像分类模型： VGG16、VGG19、InceptionV3、Xception、MobileNet、AlexNet、LeNet、ZF_Net、ResNet18、ResNet34、ResNet50、ResNet_101、ResNet_152、DenseNet

insightface

State-of-the-art 2D and 3D Face Analysis Project

leetcode

:sparkles::v::sparkles:leetcode刷题内附leetcode solution代码自动下载生成器（Leetcode solution auto generator)

meta-embeddings

Meta-embeddings are a probabilistic generalization of embeddings in machine learning.

nara_wpe

Different implementations of "Weighted Prediction Error" for speech dereverberation

This repository includes the code to reproduce our paper "End-to-End Spectro-Temporal Graph Attention Networks for Speaker Verification Anti-Spoofing and Speech Deepfake Detection" (https://arxiv.org/abs/2107.12710) published in the ASVspoof 2021 workshop.

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