PoplarML

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What is PoplarML?

Poplarml is an AI tool that enables fast and seamless deployment of production-ready and scalable ML systems with minimal engineering effort. It allows for one-click deployment and real-time inference invocation of models through REST API endpoints. The tool is framework agnostic and can be used with TensorFlow, PyTorch, and Jax models. It also provides feature user examples and resources. Documentation is coming soon.

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⭐ PoplarML Core features

  • ✔️ Deployment of production-ready ml systems
  • ✔️ Real-time inference through rest api endpoints
  • ✔️ Framework agnostic
  • ✔️ Scalability
  • ✔️ One-click deployment

⚙️ PoplarML use case ideas

  1. Deploying ML models in production.
  2. Scaling ML systems.
  3. Real-time inference invocation through REST API endpoints.

🙋‍♂️ Users of this tool

Machine learning engineers
Data scientists
Devops engineers
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AI deployment tool ML deployment automation production-ready ML deployment
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⚖️ PoplarML Comparison

PoplarML vs Modal

❓ PoplarML FAQ

Poplarml simplifies ML system deployment with minimal engineering effort and supports TensorFlow, PyTorch, and Jax models through one-click deployment and real-time inference via REST API endpoints.
Getting started with PoplarML is easy! Simply visit the official website and sign up for an account to start.
PoplarML uses a Subscription pricing model
The typical users of PoplarML include:
  • Machine learning engineers
  • Data scientists
  • Devops engineers
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