GithubHelp home page GithubHelp logo

ai-lyrics-writing's Introduction

(注:很基本的 RNN 模型,预测效果一般,仅作为学习使用!)

安装关联

  • PyTorch: pip3 install torch==1.8.1+cu102 torchvision==0.9.1+cu102 torchaudio===0.8.1 -f https://download.pytorch.org/whl/torch_stable.html (请根据你的环境选择对应的版本安装 https://pytorch.org/)
  • Tensorboard: pip3 install tensorboard
  • NumPy: pip3 install numpy

训练 & 使用模型预测

在命令行中输入 python3 main.py,根据提示训练或者使用模型做预测。

使用 Tensorboard 查看训练进度

开启一个新的控制台,输入 tensorboard --logdir=runs

ai-lyrics-writing's People

Contributors

rossning92 avatar

Stargazers

Runjie Zhou avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.