Pytorch In Real Life Save

Contains real-life example that can be solved by pytorch

Project README

Pytorch-In-Real-Life

How to Contribute 🤔

Coding

You can contribute by adding new scripts, improving current scripts or Documentation.Here are some Instructions before making a Pull Request

Here are the steps to Make contribute 👣

  • Create an issue for making any change to code. when issue will be approve you can make a change.
  • Pull latest change from upstream branch before starting the changing code.
  • Add your file in proper folder(lowercase) with README.md in it. Add requirements.txt if needed.
  • Use Jupyter for making a notebook and add related visualizations if necessary

Current Implementations

  • Actors-age-detection(Conv2d net)
  • Cactus-Identification (Efficient net)
  • Credit-card-fraud-Detection(Autoencoders)
  • MNIST-sign-language-detection(Vanilla Conv1d net)
  • Retinal-Image-classification(Data augmentation + vgg16)
  • Signature-verification (Siamese net)
  • Stock-price-predictor (LSTM)
  • Torn-Shirt-classification (vgg16)
Open Source Agenda is not affiliated with "Pytorch In Real Life" Project. README Source: pawangeek/Pytorch-In-Real-Life

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