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PyPlatX

Repository contains a collection of tools for ML, AI, and Algorithmic Trading development platform. It includes useful scripts and configurations to help set up a productive development environment. The goal of this repo is to bootstrap ML/AI and algo trading platform development by providing the basic building blocks needed.

Some of the key contents:

  • Setup scripts for common ML/AI libraries like TensorFlow, PyTorch, scikit-learn, etc. Makes it easy to install on multiple machines.
  • Containerization configs for Docker and Kubernetes to deploy ML systems.

The goal of this repo is to bootstrap ML/AI and algo trading platform development by providing the basic building blocks needed. It handles the repetitive setup/config tasks so developers can focus on writing the unique business logic.

Contributions are welcome! Please check the contribution guidelines on adding more useful tooling/scripts or enhancing existing ones.