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
1 maintainer
Metadata
1 maintainer
Release files for capnhook-ml 0.1.2
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| capnhook_ml-0.1.2-cp312-cp312-macosx_11_0_arm64.whl | CPython 3.12 | CPython 3.12 | macOS 11.0+ ARM64 | Details |
Release files / capnhook_ml-0.1.2-cp312-cp312-macosx_11_0_arm64.whl
| Download URL | capnhook_ml-0.1.2-cp312-cp312-macosx_11_0_arm64.whl |
|---|---|
| Size | 4.5 MB |
| Tags | CPython 3.12 macOS 11.0+ ARM64 |
|
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