Hummingbird
Hummingbird compiles trained ML models into tensor computation for faster inference.
About
Hummingbird is a library for compiling trained traditional ML models into tensor computations. Hummingbird allows users to seamlessly leverage neural network frameworks (such as PyTorch) to accelerate traditional ML models. Thanks to Hummingbird, users can benefit from: (1) all the current and future optimizations implemented in neural network frameworks; (2) native hardware acceleration; (3) having a unique platform to support for both traditional and neural network models; and have all of this (4) without having to re-engineer their models.
Open Source Health
- Stars
- 3,545
- Forks
- 292
- License
- MIT
- Last commit
- 1 years ago
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