关于文本分类的许多方法,主要涉及到TextCNN,TextRNN, LEAM, Transformer,Attention, fasttext, HAN等
Go 开发常用工具库, Google2步验证客户端,AES加密解密,RSA加密解密,钉钉机器人,邮件发送,JWT生成解析,Log,BoltDB操作,图片操作,json操作,struct序列化
Neural speaker recognition/verification system based on Kaldi and Tensorflow
A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"
Clone a voice in 5 seconds to generate arbitrary speech in real-time
Keras implementation of ‘’Deep Speaker: an End-to-End Neural Speaker Embedding System‘’ (speaker recognition)
An elegant, flexible, and superfast PyTorch deep Reinforcement Learning platform.
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, and date/time expressed in multiple languages (ZH, EN, FR, ES, PT, DE, IT, TR. Partial support for NL, JA, KO, SV, HI). Contributions are greatly welcome! Packages are available at https://www.nuget.org/profiles/Recognizers.Text and https://www.npmjs.com/~recognizers.text