lbjzhanmusi's Stars
sx89/ranking-practice
redis排行榜项目
frekele/oracle-java
Oracle Java Binaries
Yinsiyuan/Yin.RPC
My Dream RPC.
farmerjohngit/myblog
有深度的Java技术博客
shishan100/Java-Interview-Advanced
中华石杉--互联网Java进阶面试训练营
Snailclimb/JavaGuide
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试,首选 JavaGuide!
scutan90/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
Audio-WestlakeU/FullSubNet
PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."
breizhn/DTLN
Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.
facebookresearch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
666DZY666/micronet
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
Tencent/TNN
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.
GrowingGit/GitHub-Chinese-Top-Charts
:cn: GitHub中文排行榜,各语言分设「软件 | 资料」榜单,精准定位中文好项目。各取所需,高效学习。
aliutkus/speechmetrics
A wrapper around speech quality metrics MOSNet, BSSEval, STOI, PESQ, SRMR, SISDR
huyanxin/DeepComplexCRN
alibaba/MNN
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
nanahou/Awesome-Speech-Enhancement
A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.
WenzheLiu-Speech/awesome-speech-enhancement
speech enhancement\speech seperation\sound source localization
doocs/advanced-java
😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲:涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识
qinxuewu/docs
Java知识总结:MySQL实战45讲,多线程和JVM知识总结,,SpringBoot,SpringCloud,Storm系列,微信小程序开发,ELK,《JAVA核心技术36讲笔记》,《深入理解JVM虚拟机笔记》,《高性能MySQL笔记》,《数据结构与算法》等等
wuyouzhuguli/SpringAll
循序渐进,学习Spring Boot、Spring Boot & Shiro、Spring Batch、Spring Cloud、Spring Cloud Alibaba、Spring Security & Spring Security OAuth2,博客Spring系列源码:https://mrbird.cc
Snailclimb/guide-rpc-framework
A custom RPC framework implemented by Netty+Kyro+Zookeeper.(一款基于 Netty+Kyro+Zookeeper 实现的自定义 RPC 框架-附详细实现过程和相关教程。)
leiguorui/programming-video-tutorials
视频教程:Java, 大数据,云计算,Android,Hadoop,Docker,mysql,spark,CRM,OA...
f90/Wave-U-Net
Implementation of the Wave-U-Net for audio source separation
facebookresearch/demucs
Code for the paper Hybrid Spectrogram and Waveform Source Separation
mravanelli/SincNet
SincNet is a neural architecture for efficiently processing raw audio samples.
f90/Wave-U-Net-Pytorch
Improved Wave-U-Net implemented in Pytorch
JusperLee/Speech-Separation-Paper-Tutorial
A must-read paper for speech separation based on neural networks
GJXAIOU/Notes
Including JVM, Java concurrency, Spring framework, Data structure and Algorithm, Computer network, Design pattern, Python, C++, Linux, Mysql, Redis,MATLAB, Git and other tools, etc.
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