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Hummingbird

Compile trained ML models into tensor computation (By Microsoft)
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What is Hummingbird?

It is a library for compiling trained traditional ML models into tensor computations. It allows users to seamlessly leverage neural network frameworks (such as PyTorch) to accelerate traditional ML models.
Hummingbird is a tool in the Machine Learning Tools category of a tech stack.
Hummingbird is an open source tool with 3.4K GitHub stars and 279 GitHub forks. Here’s a link to Hummingbird's open source repository on GitHub

Who uses Hummingbird?

Developers
4 developers on StackShare have stated that they use Hummingbird.

Hummingbird Integrations

Linux, PyTorch, scikit-learn, Windows, and macOS are some of the popular tools that integrate with Hummingbird. Here's a list of all 6 tools that integrate with Hummingbird.

Hummingbird's Features

  • Current and future optimizations implemented in neural network frameworks
  • Native hardware acceleration
  • Convert your trained traditional ML models into PyTorch

Hummingbird Alternatives & Comparisons

What are some alternatives to Hummingbird?
Woodpecker
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Mantis
It is a free web-based bug tracking system. It provides a delicate balance between simplicity and power. Users are able to get started in minutes and start managing their projects while collaborating with their teammates and clients effectively.
Postman
It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.
Postman
It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.
Stack Overflow
Stack Overflow is a question and answer site for professional and enthusiast programmers. It's built and run by you as part of the Stack Exchange network of Q&A sites. With your help, we're working together to build a library of detailed answers to every question about programming.
See all alternatives

Hummingbird's Followers
8 developers follow Hummingbird to keep up with related blogs and decisions.