HummingbirdWhat 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 Development & Training Tools category of a tech stack.
Key Features
Current and future optimizations implemented in neural network frameworksNative hardware accelerationConvert your trained traditional ML models into PyTorch
Hummingbird Pros & Cons
Pros of Hummingbird
No pros listed yet.
Cons of Hummingbird
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Hummingbird Alternatives & Comparisons
What are some alternatives to Hummingbird?
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
PyTorch
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
