scikit-cuda
PyCUDA
scikit-cuda | PyCUDA | |
---|---|---|
1 | - | |
968 | 1,746 | |
- | - | |
2.5 | 5.4 | |
7 months ago | 29 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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scikit-cuda
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GPU Based Kernel-PCA
I found this lovely repo -> https://github.com/lebedov/scikit-cuda
PyCUDA
We haven't tracked posts mentioning PyCUDA yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
cupy - NumPy & SciPy for GPU
SWIG - SWIG is a software development tool that connects programs written in C and C++ with a variety of high-level programming languages.
cuml - cuML - RAPIDS Machine Learning Library
jpype - JPype is cross language bridge to allow Python programs full access to Java class libraries.
pyopencl - OpenCL integration for Python, plus shiny features
cffi
kernel_tuner - Kernel Tuner
PyJNIus - Access Java classes from Python
cusim - Superfast CUDA implementation of Word2Vec and Latent Dirichlet Allocation (LDA)
tmu - Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is written in Python with wrappers for C and CUDA-based clause evaluation and updating.
TileDB-Py - Python interface to the TileDB storage engine