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dnhkng/PCAonGPU: A GPU-based Incremental PCA implementation.

github.com · 168 words · saved by 1 readers

A GPU-based Incremental PCA implementation. Contribute to dnhkng/PCAonGPU development by creating an account on GitHub.

PCAonGPU A powerful implementation of Incremental Principal Components Analysis that runs on GPU, built on top of PyTorch. Up to 20x speed-ups on gigabyte-scale PCA. Installation From PyPi pip install PCAonGPU From Source Clone the repository: git clone https://github.com/dnhkng/PCAonGPU.git Navigate to the cloned directory: cd PCAonGPU Install the required dependencies: pip install -r requirements.txt Usage from gpu_pca import IncrementalPCAonGPU # Create an instance model = IncrementalPCAonGPU ( n_components = 5 ) # Fit the model (either using `fit` or `partial_fit`) model . fit ( your_data

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