FanbinMao's Stars
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
CyC2018/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
labuladong/fucking-algorithm
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
QSCTech/zju-icicles
浙江大学课程攻略共享计划
OI-wiki/OI-wiki
:star2: Wiki of OI / ICPC for everyone. (某大型游戏线上攻略,内含炫酷算术魔法)
ZhongFuCheng3y/athena
Java后端知识图谱🔥 帮助Java初学者成长
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
CodingDocs/awesome-java
Collection of awesome Java project on Github(非常棒的 Java 开源项目集合).
ShameCom/ShameCom
收集校招污点公司或组织,帮助学弟学妹避雷。互联网不曾遗忘!
DDoSolitary/LxRunOffline
A full-featured utility for managing Windows Subsystem for Linux (WSL)
conanhujinming/tips_for_interview
我的一些面试心得;自学CS历程分享;找工作求职经验分享
aliutkus/speechmetrics
A wrapper around speech quality metrics MOSNet, BSSEval, STOI, PESQ, SRMR, SISDR
fungtion/DANN
pytorch implementation of Domain-Adversarial Training of Neural Networks
Snowdar/asv-subtools
An Open Source Tools for Speaker Recognition
sooftware/attentions
PyTorch implementation of some attentions for Deep Learning Researchers.
vBaiCai/python-pesq
A python package for calculating the PESQ.
CheyneyComputerScience/CREMA-D
Crowd Sourced Emotional Multimodal Actors Dataset (CREMA-D)
mpariente/pystoi
Python implementation of the Short Term Objective Intelligibility measure
james34602/SpleeterRT
Real time monaural source separation base on fully convolutional neural network operates on Time-frequency domain.
krahets/CodingSolution
The coding solutions of Leetcode and 剑指Offer using Python and Java.
nii-yamagishilab/Attention_Backend_for_ASV
Attention Backend for Aotumatic Speaker Verification with Multiple Enrollment Utterances
zengchang233/GMM_baseline
未来杯语音赛道说话人识别的baseline
tuan3w/spleeter-pytorch
Spleeter implementation in pytorch
generalwave/spleeter.pytorch
Spleeter implementation in pytorch
zengchang233/asv_neural_network
neural network and loss for asv implemented by PyTorch. (Triplet loss, LMCL, Angular Loss, Softmax)
zengchang233/MTGAN
MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks
zengchang233/Speaker_Verification_Tencent
Deep Discriminative Embeddings for Duration Robust Speaker Verification
zengchang233/asv_beginner
To newcomer: common tools built by PyTorch for automatic speaker verification
zengchang233/Deep_Learning_Course