Optimised SIMD libary for machine learning
Project description
CapNHook-ML
Optimised math library for CapnHook repository.
Features
- numpy ndarray support
- numpy like API with:
- elementwise operations
- broadcasting
- reduction operations
- linear algebra operations
- [-] common ML operations:
- matrix multiplication
- convolution
- pooling
- activation functions
- loss functions
- optimizers
- common statistics operations:
- mean
- median
- mode
- variance
- standard deviation
- covariance
- correlation
Motivation
We motivate the use of libraries/technologies through very basic benchmarks. The goal is to show the reasoning behind the design decisions of this project. Currently, we motivate:
Installation
To install this library, run:
pip install capnhook_ml
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- Upload date:
- Size: 4.5 MB
- Tags: CPython 3.12, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
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