zhangxueyangjuxie Goto Github PK
Type: User
Type: User
Automatic speaker recognition experiments with deep neural nets
百度网盘的linux桌面客户端
Caffe on both Linux and Windows
Deep Speaker: an End-to-End Neural Speaker Embedding System https://arxiv.org/pdf/1705.02304.pdf
Deep Learning Book Chinese Translation
Deep learning tutorial in Chinese/深度学习教程中文版
DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet
This is now the official location of the Kaldi project.
Models and examples built with TensorFlow
Dataset of AAAI 2020 paper "Accurate Structured-Text Spotting for Arithmetical Exercise Correction"
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Protocol Buffers - Google's data interchange format
PyTorch Tutorial for Deep Learning Researchers
Speaker recognition using DNNs. This is a course project.
Computation using data flow graphs for scalable machine learning
Tomorrow Theme the precursor to Base16 Theme
Utterance-level Aggregation For Speaker Recognition In The Wild
Datasets, Transforms and Models specific to Computer Vision
Voice Print Recognition
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.